It is a plausible speculation that conventional choices in outcome measures might influence the results of meta-analyses. We test that speculation by simulating data from trials on antidepressants. We vary real drug effectiveness while modulating conventional values for outcome measures. We had previously shown that one conventional choice used in meta-analyses of antidepressants falls in a narrow range of values that maximize estimates of effectiveness. Our present analysis investigates why this phenomenon occurs. Moreover, our (...) results suggest the superiority of absolute outcome measures over relative measures. This research program can be extended to test numerous other aspects of clinical research. (shrink)

Introduction Current treatments for pain have limited benefits and worrying side effects. Some studies suggest that pain is reduced when clinicians deliver positive messages. However, the effects of positive messages are heterogeneous and have not been subject to meta-analysis. We aimed to estimate the efficacy of positive messages for pain reduction. -/- Methods We included randomized trials of the effects of positive messages in a subset of the studies included in a recent systematic review of context factors for treating (...) pain. Several electronic databases were searched. Reference lists of relevant studies were also searched. Two authors independently undertook study selection, data extraction, risk of bias assessment, and analyses. Our primary outcome measures were differences in patient- or observer-reported pain between groups who were given positive messages and those who were not. -/- Results Of the 16 randomized trials (1703 patients) that met the inclusion criteria, 12 trials had sufficient data for meta-analysis. The pooled standardized effect size was −0.31 (95% confidence interval [CI] −0.61 to −0.01, p = 0.04, I2 = 82%). The effect size remained positive but not statistically significant after we excluded studies considered to have a high risk of bias (standard effect size −0.17, 95% CI −0.54 to 0.19, P = 0.36, I2 = 84%). -/- Conclusion Care of patients with chronic or acute pain may be enhanced when clinicians deliver positive messages about possible clinical outcomes. However, we have identified several limitations of the present study that suggest caution when interpreting the results. We recommend further high-quality studies to confirm (or falsify) our result. -/- FUNDING -/- Alexander Mebius research has been funded through the ERC grant "Philosophy of Pharmacology: Safety, Statistical Standards, and Evidence Amalgamation" (GA: 639276). (shrink)

An astonishing volume and diversity of evidence is available for many hypotheses in the biomedical and social sciences. Some of this evidence—usually from randomized controlled trials (RCTs)—is amalgamated by meta-analysis. Despite the ongoing debate regarding whether or not RCTs are the ‘gold-standard’ of evidence, it is usually meta-analysis which is considered the best source of evidence: meta-analysis is thought by many to be the platinum standard of evidence. However, I argue that meta-analysis falls far short of (...) that standard. Different meta-analyses of the same evidence can reach contradictory conclusions. Meta-analysis fails to provide objective grounds for intersubjective assessments of hypotheses because numerous decisions must be made when performing a meta-analysis which allow wide latitude for subjective idiosyncrasies to influence its outcome. I end by suggesting that an older tradition of evidence in medicine—the plurality of reasoning strategies appealed to by the epidemiologist Sir Bradford Hill—is a superior strategy for assessing a large volume and diversity of evidence. (shrink)

Preparing students for the real challenges in life is one of the most important goals in education. Constructivism is an approach that uses real-life experiences to construct knowledge. Problem-Based Learning (PBL), for almost five decades now, has been the most innovative constructivist pedagogy used worldwide. However, with the rising popularity, there is a need to revisit empirical studies regarding PBL to serve as a guide and basis for designing new studies, making institutional policies, and evaluating educational curricula. This need has (...) led the researchers to do a meta-analysis to analyse the effectiveness of PBL on secondary students’ achievement in different scientific disciplines. Following the set of inclusion and exclusion criteria, 11 studies in Eurasia, Africa, and America conducted from 2016 to 2020 have qualified for this study. Six of which focused on JHS (n = 1047) and five on SHS (n = 375). Studies were obtained from various meta-search engines including Google, ERIC, and JSTOR. Further, the researchers used Harzing’s Publish and Perish software to exhaust the search process. Sample size, mean, and standard deviation were analysed using the Comprehensive MetaAnalysis version 3 to determine the effect sizes (Hedge’s g) and the results of moderator analysis, forest plot, funnel plot, and Begg-Mazumdar test. Findings have shown that PBL, as an approach to teaching science, had a large and positive effect (ES = .871) on the achievement of secondary students. However, grade levels and various scientific disciplines did not influence students’ learning achievement. The conduct of more studies on the different factors affecting PBL implementation and specific effects of PBL on various student domains is recommended to facilitate comparative educational research in the future. (shrink)

A distorted representation of one's own body is a diagnostic criterion and core psychopathology of both anorexia nervosa (AN) and bulimia nervosa (BN). Despite recent technical advances in research, it is still unknown whether this body image disturbance is characterized by body dissatisfaction and a low ideal weight and/or includes a distorted perception or processing of body size. In this article, we provide an update and meta-analysis of 42 articles summarizing measures and results for body size estimation (BSE) (...) from 926 individuals with AN, 536 individuals with BN and 1920 controls. We replicate findings that individuals with AN and BN overestimate their body size as compared to controls (ES= 0.63). Our meta-regression shows that metric methods (BSE by direct or indirect spatial measures) yield larger effect sizes than depictive methods (BSE by evaluating distorted pictures), and that effect sizes are larger for patients with BN than for patients with AN. To interpret these results, we suggest a revised theoretical framework for BSE that accounts for differences between depictive and metric BSE methods regarding the underlying body representations (conceptual vs. perceptual, implicit vs. explicit). We also discuss clinical implications and argue for the importance of multimethod approaches to investigate body image disturbance. (shrink)

Measuring the effectiveness of medical interventions faces three epistemological challenges: the choice of good measuring instruments, the use of appropriate analytic measures, and the use of a reliable method of extrapolating measures from an experimental context to a more general context. In practice each of these challenges contributes to overestimating the effectiveness of medical interventions. These challenges suggest the need for corrective normative principles. The instruments employed in clinical research should measure patient-relevant and disease-specific parameters, and should not (...) be sensitive to parameters that are only indirectly relevant. Effectiveness always should be measured and reported in absolute terms (using measures such as 'absolute risk reduction'), and only sometimes should effectiveness also be measured and reported in relative terms (using measures such as 'relative risk reduction')-employment of relative measures promotes an informal fallacy akin to the base-rate fallacy, which can be exploited to exaggerate claims of effectiveness. Finally, extrapolating from research settings to clinical settings should more rigorously take into account possible ways in which the intervention in question can fail to be effective in a target population. (shrink)

Side effects are ubiquitous in medicine and they often play a role in treatment decisions for patients and clinicians alike. Philosophers and health researchers often use side effects to illustrate issues with contemporary medical research and practice. However, technical definitions of ‘side effect’ differ among health authorities. Thus, determining the side effects of an intervention can differ depending on whose definition we assume. Here I review some of the common definitions of side effect and highlight their issues. In (...) response, I offer an account of side effects as jointly (i) unintended and (ii) effects due to the causal capacities or invariances of an intervention. I discuss (i) by examining the intentions or reasons behind therapeutic interventions, and I discuss (ii) by appealing to a manipulationist model of causation. The analysis here highlights that side effects are conceptually distinct from related outcomes like adverse events, adverse drug reactions, and placebo effects. The analysis also allows for reflection on the utility of ‘side effect’ as a technical term in medical research and practice. (shrink)

Experimental research suggests that people draw a moral distinction between bad outcomes brought about as a means versus a side effect (or byproduct). Such findings have informed multiple psychological and philosophical debates about moral cognition, including its computational structure, its sensitivity to the famous Doctrine of Double Effect, its reliability, and its status as a universal and innate mental module akin to universal grammar. But some studies have failed to replicate the means/byproduct effect especially in the absence (...) of other factors, such as personal contact. So we aimed to determine how robust the means/byproduct effect is by conducting a meta-analysis of both published and unpublished studies (k = 101; 24,058 participants). We found that while there is an overall small difference between moral judgments of means and byproducts (standardized mean difference = 0.87, 95% CI 0.67 – 1.06; standardized mean change = 0.57, 95% CI 0.44 – 0.69; log odds ratio = 1.59, 95% CI 1.15 – 2.02), the mean effect size is primarily moderated by whether the outcome is brought about by personal contact, which typically involves the use of personal force. (shrink)

Proponents of evidence-based medicine have argued convincingly for applying this scientific method to medicine. However, the current methodological framework of the EBM movement has recently been called into question, especially in epidemiology and the philosophy of science. The debate has focused on whether the methodology of randomized controlled trials provides the best evidence available. This paper attempts to shift the focus of the debate by arguing that clinical reasoning involves a patchwork of evidential approaches and that the emphasis on (...) evidence hierarchies of methodology fails to lend credence to the common practice of corroboration in medicine. I argue that the strength of evidence lies in the evidence itself, and not the methodology used to obtain that evidence. Ultimately, when it comes to evaluating the effectiveness of medical interventions, it is the evidence obtained from the methodology rather than the methodology that should establish the strength of the evidence. (shrink)

Data from medical research are typically summarized with various types of outcome measures. We present three arguments in favor of absolute over relative outcome measures. The first argument is from cognitive bias: relative measures promote the reference class fallacy and the overestimation of treatment effectiveness. The second argument is decision-theoretic: absolute measures are superior to relative measures for making a decision between interventions. The third argument is causal: interpreted as measures of causal (...) strength, absolute measures satisfy a set of desirable properties, but relative measures do not. Absolute outcome measures outperform relative measures on all counts. (shrink)

Racial disparities in health outcomes have recently become a flashpoint in the debate about the value of race as a biological concept. What role, if any, race has in the etiology of disease is a philosophically and scientifically contested topic. In this article, I expand on the insights of the new mechanistic philosophy of science to defend a mechanism discovery approach to investigating epidemiological racial disparities. The mechanism discovery approach has explanatory virtues lacking in the populational approach typically employed (...) in the study of race and biomedicine. The explanatory constraints that form an integral part of the new mechanistic approach enable mechanism discovery to avoid the epistemic and normative shortcomings of the populational approach. The methodology of mechanism discovery can fruitfully be extended to the treatment and reversal of epidemiological racial disparities. (shrink)

What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. (...) The first strand of computational research models the effect of communicative networks within groups, with conclusions regarding the potential benefit of limited communication. The second strand models the potential benefits of cognitive diversity within groups. Examples from each strand of research are used in analyzing what makes modeling of this sort both promising and distinctly philosophical, but are also used to emphasize possibilities for failure and inherent limitations as well. (shrink)

There are two competing views regarding the role of mechanistic knowledge in inferences about the effectiveness of interventions. One view holds that inferences about the effectiveness of interventions should be based only on data from population-level studies (often statistical evidence from randomised trials). The other view holds that such inferences must be based in part on mechanistic evidence. The competing views are local principles of inference, the plausibility of which can be assessed by a more general normative principle of inference. (...) Bayesianism tells us to base inferences on both the ‘likelihood’ and the ‘prior’. The likelihood represents statistical evidence. One influence on the prior probability of a hypothesis like ‘d causes x’ is mechanistic knowledge of how d causes x. Thus, reasoning about such inferences by appealing to both statistical and mechanistic evidence is vindicated by our best general theory of inference. The primary contribution of this paper is to assess the merits and weaknesses of the arguments on both sides of the debate, using the Bayesian framework. This analysis lends support to those who argue that we should base our causal inferences about interventions in part on mechanistic evidence. (shrink)

Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyze large volumes of scientific literature. Here (...) we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships. (shrink)

This study explores the effectiveness of brain-based learning (BBL) as a pedagogical approach to address the challenges of poor conceptual understanding, which may have worsened due to the COVID-19 pandemic aftermath. In this meta- analysis, 14 studies qualified using the Publish or Perish software and the Preferred Reporting Items for Systematic Reviews and Meta-analyses. Statistical analysis conducted using Comprehensive Meta-Analysis (CMA) Version 4 software by Biostat, Inc. Based on the results, the overall effect size (ES = (...) 3.135) indicates that the use and integration of BBL principles and strategies have a significantly large and positive effect on student conceptual understanding. The moderator analysis revealed a significant difference between individual studies (p < .001); however, the overall results for academic level (p > .05) and discipline (p > .05) revealed no significant differences. Hence, each study included in this analysis may differ from one another due to the differences in various BBL strategies implemented; however, when grouped, they shared common effect sizes. With these findings, the researchers advocate the use of BBL principles and strategies to improve students' conceptual understanding at various levels in basic education, be it in English and STEM. Moreover, empirical studies focusing on a particular BBL variable, such as health and nutrition, are recommended for in-depth analysis and discussion. (shrink)

This paper presents a preliminary analysis of homeopathy from the perspective of the demarcation problem in the philosophy of science. In this context, Popper, Kuhn and Feyerabend’s solution to the problem will be given respectively and their criteria will be applied to homeopathy, aiming to shed some light on the controversy over its scientific status. It then examines homeopathy under the lens of demarcation criteria to conclude that homeopathy is regarded as science by Feyerabend and is considered as pseudoscience (...) by Popper and Kuhn. By offering adequate tools for the analysis of the foundations, structure and implications of homeopathy, demarcation issue can help to clarify this medical controversy. The main argument of this article is that a final decision on homeopathy, whose scientific status changes depending on the criteria of the philosophers mentioned, cannot be given. (shrink)

This thesis examines philosophical controversies surrounding the evaluation of medical treatments, with a focus on the evidential roles of randomised trials and mechanisms in Evidence-Based Medicine. Current 'best practice' usually involves excluding non-randomised trial evidence from systematic reviews in cases where randomised trials are available for inclusion in the reviews. The first paper challenges this practice and evaluates whether adding of evidence from non-randomised trials might improve the quality and precision of some systematic reviews. The second paper compares the alleged (...) methodological benefits of randomised trials over observational studies for investigating treatment benefits. It suggests that claims about the superiority of well-conducted randomised controlled trials over well-conducted observational studies are justified, especially when results from the two methods are contradictory. The third paper argues that postulating the unpredictability paradox in systematic reviews when no detectable empirical differences can be found requires further justification. The fourth paper examines the problem of absence causation in the context of explaining causal mechanisms and argues that a recent solution is incomplete and requires further justification. Solving the problem by describing absences as causes of 'mechanism failure' fails to take into account the effects of absences that lead to vacillating levels of mechanism functionality. The fifth paper criticises literature that has emphasised functioning versus 'broken' or 'non-functioning' mechanisms emphasising that many diseases result from increased or decreased mechanism function, rather than complete loss of function. Mechanistic explanations must account for differences in the effectiveness of performed functions, yet current philosophical mechanistic explanations do not achieve this. The last paper argues that the standard of evidence embodied in the ICE theory of technological function is too permissive for evaluating whether the proposed functions of medical technologies have been adequately assessed and correctly ascribed. It argues that high-quality evidence from clinical studies is necessary to justify functional ascriptions to health care technologies. (shrink)

The topic of this Handbook entry is the relationship between similarity and dimensional analysis, and some of the philosophical issues involved in understanding and making use of that relationship. Discusses basics of the relationship between units, dimensions, and quantities. It explains the significance of dimensionless parameters, and explains that similarity of a physical systems is established by showing equality of a certain set of dimensionless parameters that characterizes the system behavior. Similarity is always relative -- to some system behavior. Other (...) topics discussed: generalization of the notion of similarity, the difference between relative similarity and partial similarity; how the notion of similarity in science differs from similarity as it has been discussed in recent philosophy. Philosophers' views discussed: R. Giere, N. Goodman, P. Bridgman, and B. Ellis. (shrink)

Embedding ethics modules within computer science courses has become a popular response to the growing recognition that CS programs need to better equip their students to navigate the ethical dimensions of computing technologies like AI, machine learning, and big data analytics. However, the popularity of this approach has outpaced the evidence of its positive outcomes. To help close that gap, this empirical study reports positive results from Northeastern’s program that embeds values analysis modules into CS courses. The resulting data suggest (...) that such modules have a positive effect on students’ moral attitudes and that students leave the modules believing they are more prepared to navigate the ethical dimensions they’ll likely face in their eventual careers. Importantly, these gains were accomplished at an institution without a philosophy doctoral program, suggesting this strategy can be effectively employed by a wider range of institutions than many have thought. (shrink)

In this paper we motivate and develop the analytic theory of measurement, in which autonomously specified algebras of quantities (together with the resources of mathematical analysis) are used as a unified mathematical framework for modeling (a) the time-dependent behavior of natural systems, (b) interactions between natural systems and measuring instruments, (c) error and uncertainty in measurement, and (d) the formal propositional language for describing and reasoning about measurement results. We also discuss how a celebrated theorem in analysis, known as Gelfand (...) representation, guarantees that autonomously specified algebras of quantities can be interpreted as algebras of observables on a suitable state space. Such an interpretation is then used to support (i) a realist conception of quantities as objective characteristics of natural systems, and (ii) a realist conception of measurement results (evaluations of quantities) as determined by and descriptive of the states of a target natural system. As a way of motivating the analytic approach to measurement, we begin with a discussion of some serious philosophical and theoretical problems facing the well-known representational theory of measurement. We then explain why we consider the analytic approach, which avoids all these problems, to be far more attractive on both philosophical and theoretical grounds. (shrink)

ABSTRACT: Abstract Most modern knowledge is not science. The physical sciences have successfully validated theories to infer they can be used universally to predict in previously unexperienced circumstances. According to the conventional conception of science such inferences are falsified by a single irregular outcome. And verification is by the scientific method which requires strict regularity of outcome and establishes cause and effect. -/- Medicine, medical research and many “soft” sciences are concerned with individual people in complex heterogeneous (...) populations. These populations cannot be tested to demonstrate strict regularity of outcome in every individual. Neither randomised controlled trials nor observational studies in medicine are science in the conventional conception. Establishing and using medical and other “soft science” theories cannot be scientific. It requires conceptually different means: requiring expert judgement applying all available evidence in the relevant available factual matrix. -/- The practice of medicine is observational. Prediction of outcomes for the individual requires professional expertise applying available medical knowledge and evidence. Expertise in any profession can only be acquired through experience. Prior cases are the fundament of knowledge and expertise in medicine. Case histories, studies and series can provide knowledge of extremely high reliability applicable to establishing reliable general theories and falsifying others. Their collation, study and analysis should be a priority in medicine. Their devaluation as evidence, the failure to apply their lessons, the devaluation of expert professional judgement and the attempt to emulate the scientific method are all historic errors in the theory and practice of modern medicine. (shrink)

David Tomasi presents new, groundbreaking research on the science and application of Mind-Body Medicine strategies to improve clinical outcomes in inpatient psychiatry settings. Much more than a list of therapeutic recommendations, this book is a thorough description of how Mind-Body Medicine can be successfully applied, from a therapeutic as well as from an organizational, cost-effective analysis viewpoint, to the full spectrum of psychiatric treatments. Furthermore, this study examines the role of multidisciplinary and interdisciplinary treatment teams, with a special focus on (...) the profession and the role of psychotherapists and group therapists, thereby providing solid scientific evidence of the benefits of patient-provider therapeutic alliances. In this sense, this book serves as a guide for professionals and institutions both in the private and the public sphere, to learn effective treatment and management strategies. About the Author Psychotherapist, Researcher, and Philosopher Dr. David Låg Tomasi is the author of Medical Philosophy (ibidem, 2016) and the co-author of Positive Patient Response to a Structured Exercise Program Delivered in Inpatient Psychiatry (Global Advances in Health and Medicine, 2019), the most-read research item from the University of Vermont (Researchgate, 2019). A member of several national and international Academies of Sciences, Dr. Tomasi works in the Inpatient Psychiatry Unit at the UVM Medical Center, and teaches at the University of Vermont and the Community College of Vermont. ---- Ibidem / Columbia University Press. (shrink)

Background: Ananas comosus Linn is famous in traditional medicine f o r i t s abortificant and anti inflammatory effects. Its peel is already e valuated and established as a remarkable antioxidant agent. Despite its intensive use in number of conditions, its neuropharmacological studies are still missing. So this study was performed (1) to analyze the qualitative phytochemical composition of methanolic extract of Ananas comosus Linn peel, and (2) To evaluate the antidepressant-like effects at different doses. Methodology: Phytochemical screening of (...) MeACP was performed by using standard chemicals and methods. 60 NMRI mice of either sex were randomly divided into Control group which received 5% Tween 80, a standard group which received Imipramine (15mg/kg) and three treatment groups which were given three doses 3.25, 7.5 and 15 mg/kg doses of MeACP. Antidepressant effects were measured in the forced swimming and tail suspension tests. Each group consisted of 6-7 animals. Result: All three test doses of MeACP (3.25, 7.5 and 15 mg/kg) induced antidepressant-like behavior in FST and TST (p<0.001) and comparable with positive control Imipramine 15mg/kg. Conclusions: Methanolic extract of MeACP possess excellent antidepressant potential at low doses but its effect on long term administration and its safety profile in acute and chronic administration is needed to be further evaluated,. (shrink)

Introduction: Interdisciplinary, transdisciplinary and action research of a city in lockdown. As we write this chapter, most cities across the world are subject to a similar set of measures due to the spread of COVID-19 coronavirus, which is now a global pandemic. Independent of city size, location, or history, an observer would note that almost all cities have now ground to a halt, with their citizens being confined to their private dwellings, social and public gatherings being almost entirely forbidden, (...) and commercial areas being nearly devoid of visitors. Striking as these apparent similarities are, closer scrutiny would reveal important differences between cities and within cities – differences that can be highly relevant to consider when scholars are assessing the responses of cities to this pandemic or trying to predict the consequences of those responses. For example, the public health systems in some cities are better prepared than in others for coping with the increasing number of patients in life threatening conditions. Multigenerational households, which are associated with a greater risk for elderly members, are not equally common in all cities. Tourist destinations have taken a more severe economic hit from the lockdown than those cities which are economically less dependent upon this particular source of income. Communal celebrations in one city will result in a higher number of contagions and perhaps even deaths in this situation, whereas that same social fabric generally does contribute to a population’s health. The pandemic has also had unprecedented effects on differences and inequalities within cities. In cities in the United States, neighborhoods primarily inhabited by African Americans have been disproportionately affected by COVID-19 due to living and health conditions, yet also due to the fact they disproportionately perform vital jobs. Parks and green spaces are crowded, while city centers like Amsterdam’s Red Light District have suddenly lost the bustle of tourism, providing opportunities for citizens to reoccupy scarce public spaces and reclaim ownership. Clearly, such differences between cities are in many cases only discernible to the eye of an expert, possessing the necessary background knowledge to interpret the perceptible local changes caused by the global pandemic. Typically, drawing upon his or her disciplinary training, the expert also knows how to further probe the impact of the pandemic in an appropriate way. However, compared to the usual application of expertise, this crisis situation might, in an unusual way, test even experts. For the pandemic has created a unique situation, imposing unfamiliar constraints on the health, economic, social, and other conditions of cities, constraints that interact in sometimes unexpected ways with each other. Such interactions in turn force experts to collaborate across the boundaries commonly associated with disciplines, their concepts, theories, methods, and assumptions (Klein, 1996). These brief observations of how a virus pandemic can have differential impacts upon various cities, and what this exceptional situation might mean for the application of city methods, allow us to draw a few consequences for the current context of this chapter on interdisciplinary and transdisciplinary research. First, whenever we are investigating a complex and dynamic phenomenon it is by no means easy to determine which disciplinary perspectives are required to do justice to it. Indeed, the choice of useful disciplines can only be made after an initial overview of the situation and a preliminary selection of what appear to be the most important features of the situation. Relevance is key in guiding this selection process and scholars must remain open to the possibility that they may need to revise their earlier assessments of what is relevant and what is not. Second, if scholars from different disciplines were to study different features of a city in isolation, their ‘multidisciplinary’ account would miss important dynamic and complex interactions, such as those between a city’s demographics and geographical situation, its governance and economy. In other words, it is the integration of the perspectives of different disciplines that is crucial, as only then are such interactions taken into account. Indeed, this integration between disciplinary perspectives is what distinguishes an interdisciplinary from a multidisciplinary account. Thirdly, in addition to checking the relevance of disciplines and aiming for their integration, the outcome of interdisciplinary and transdisciplinary research has typically limited generalizability. Since a city is sensitive to a multitude of internal and external dynamical factors, in ways that partly rest upon its socio-cultural history, its investigation will often have the nature of a case study rather than be capable of leading to law-like insights (Krohn, 2010; Menken & Keestra, 2016). As can be seen from these three characteristics of ascertaining the relevance of different disciplinary contributions, the challenge of their integration, and the limited generalizability of their results owing to the specificity of interdisciplinary (ID) and transdisciplinary (TD) research, such research into ‘real world problems’ is clearly distinct from most monodisciplinary research. A consequence of this distinction is the absence of a general ID/TD methodology that can guide specific case studies. By contrast, the collaboration implied in such research requires researchers – and stakeholders, if they are involved – to reflect upon their potential contribution and the implicit assumptions associated with that. We will elaborate on this in the next section. Next, we offer several typologies of integration that urban scholars could employ for their research projects, after which we will offer a few brief analyses of initial collaborations of urban research. Finally, we discuss in more detail the process of the interdisciplinary research project. This will include a brief reflection upon the decision-making process that is implied in such projects. In sum, we aim to provide some guidance in conducting an ID/TD project, albeit not in the form of a definite methodology. (shrink)

The human soul has been believed to be immaterial and immortal element which exclusively inheres in the human body. Ukpugho ukpong (soul transplant) is an ancient meta-medical science of the Annang and Ibibio people, which is hinged on the belief that the human soul is transcendent and it exclusively inheres in proxy animal; that the soul is mortal, and can be surgically transplanted in the likeness of somatic tissue transplant. This study aimed at carrying out a philosophical critique of (...) this belief in order to determine its significance as a metaphysical concept. It also aimed at critically examining the philosophical as well as sociological discussions on the subject of ukpuho ukpong. The study was discussed on the framework of African concept of mind which holds that the soul has dual nature, namely – the Active Principle and the Quiescent Counterpart. The paper debunks the doctrines of metempsychosis and transmigration as alien to African metaphysics. The method of ordinary language analysis was employed to analyze the concepts ukpong and mbukpong. In conclusion, the paper made the following observations that: the soul is transcendent but perishable substance, the mind has dual nature, the soul does not transmigrate and the science of ukpuho ukpong is not a pseudo-metaphysical concept but was founded on African logic of dualistic mind. The paper notes that the science of ukpuho ukpong is bugged with a number of unresolved philosophical problems. Despite that the paper discovered that the science of ukpuho ukpong can contribute significantly to meta-medicine and sustainable environmental values. (shrink)

Philosophy of science studies science and the production of scientific knowledge. Usually, philosophical investigations of this field focus mainly on metaphysical, epistemological, and methodological aspects of science. Despite being divided into the general philosophy of science and philosophy of special sciences, philosophy of science, in a general way, is still distant from scientific practice per se. In order to fill this gap, a third subfield has emerged, philosophy of science in practice. This article provides a (...) brief introduction to the philosophy of science in practice and to the Society for Philosophy of Science in Practice. It discusses its goals, methods, its social and empirical engagement. It is expected that this article will shed light on the diversity and possibility of investigations for a philosophy of science beyond meta-analysis, in other words, that is empirically engaged and socially informed. - A filosofia da ciência estuda a ciência, o modus operandi da ciência e o conhecimento científico. Convencionalmente, as investigações filosóficas desse campo se debruçam principalmente sobre aspectos metafísicos, epistemológicos e metodológicos da produção de conhecimento nas ciências. Muito embora seja tradicionalmente subdividida em filosofia geral das ciências e filosofia das ciências especiais, a filosofia da ciência de uma forma geral ainda se mantém distante das práticas científicas propriamente ditas. Para suprir tal demanda surge uma terceira subdivisão, ainda embrionária, a filosofia da ciência em prática. Este artigo apresenta uma breve introdução à filosofia da ciência em prática e à Sociedade de Filosofia da Ciência em Prática, discute seus objetivos e estratégias metodológicas, bem como seu engajamento social e empírico. Espero que, com esse artigo, seja possível trazer uma breve noção sobre a diversidade de investigações e as possibilidades de uma filosofia da ciência que pode ir para além do escopo meta-analítico, que pode ser empiricamente engajada e socialmente informada. (shrink)

The idea of disease as an objective malfunctioning cannot be accepted for many different reasons. “Malfunctioning” or “failure” have a meaning only if the perfect working condition or normality is univocally determined. The differences between a person and any other person are not unimportant and cannot be ignored neither in diagnosis nor in treatment. These differences can be ascribable to three different sets of reasons: 1.illnesses leave irreversible marks on the organic structure, for they modify the information an organism has (...) at least as far as the neuroendocrine and immune systems are involved; 2.there are individual differences in the immune system; 3.there are individual differences in the functional organization of the brain that are not due only to biological causes. Furthermore the subjective perception of the illness itself must be included among the elements that determine the features of an illness. Notwithstanding the presence of the same symptoms and the same tests readings, two people may perceive their illness in a different way, with effects on the course of the illness itself and the effectiveness of the treatment. The idea of disease also depends on the cultural context. (shrink)

As it has been shaped by improvements in its tools and methods, and by its discourse with critics, I describe how the astrological research program has advanced through three stages of modelling and design limitations. Single-factor tests (for example, the many Sun-sign–only experiments that have been published) are typically underdeterministic. Multi-factor tests, unless they are very well designed, can easily become overdeterministic. Chart-matching tests have been vulnerable to confirmation bias errors until the development of a machine-based, whole-chart matching protocol that (...) has objectively produced evidence of high effect-sizes. A meta-analysis of recent results shows the rapid advancement and how to further improve the results. The value of the program is not only to corroborate the taxonomic counterfactuals of astrological “cookbooks,” but to extend their explanatory reach by the comparison of astrological postulates and inferences with philosophies in other disciplines in terms of quantifiable processes and emergent effects. (shrink)

Amid criticism of medicine's scientific rigor and patient care, this book offers a philosophical examination of the nature and aims of medicine, and new perspectives on how these challenges can be addressed. It offers input for rethinking the agenda of medical research, healthcare delivery, and the education of healthcare personnel.

Modern health care relies extensively on the use of technologies for assessing and treating patients, so it is important to be certain that health care technologies perform their professed functions in an effective and safe manner. Philosophers of technology have developed methods to assign and evaluate the functions of technological products, the major elements of which are described in the ICE theory. This paper questions whether the standard of evidence advocated by the ICE theory is adequate for ascribing and assessing (...) technologies employed in health care. The paper proposes that the general problem with the standard of evidence embodied in the ICE theory is too permissive for assessing medical technologies, in that it does not take into account the relative benefit and harm of medical technologies in ensuring safe functional performance in patients. The paper illustrates how evidence-based medicine has demonstrated the value of clinical research methods, including observational studies, randomized and non-randomized clinical trials, and formal techniques, such as meta-analysis, to measure therapeutic effectiveness. I argue, therefore, that evidence from clinical research studies should take precedence over the testimonial evidence and other types of non-clinical evidence, in providing justification for health technologies. (shrink)

This research aims to determine the effectiveness of the self-directed learning model and the discovery learning model assisted by focusky media on the historical analysis abilities and learning outcomes of students in history subjects. This type of research is a quasi-experiment with a sample size of 65 students at SMA Negeri 1 Bangorejo. The results of the t-test of historical analysis ability and learning outcomes, it shows that there is a significant difference with the difference in the average posttest score (...) for historical analysis ability 2.733 and the difference in the average posttest score for learning outcomes 3.059. Then, the historical analysis effectiveness test, it shows a medium category of 0.050, while the learning outcomes show a medium category of 0.053. This shows that experiment class 1 is better than experiment class 2 and the self-directed learning model has proven to be effective in improving historical analysis skills and learning outcomes. (shrink)

Bad philosophy is responsible for the climate and nature crises, and other global problems too that threaten our future. That sounds mad, but it is true. A philosophy of science, or of theatre or life is a view about what are, or ought to be, the aims and methods of science, theatre or life. It is in this entirely legitimate sense of “philosophy” that bad philosophy is responsible for the crises we face. First, and in a (...) blatantly obvious way, those institutions, organizations, corporations, businesses, endeavours, and activities of humanity that cause the crises and global problems we face, do so because of the aims they pursue (profit perhaps, or power, or heat and light for homes), and the methods adopted in pursuit of those aims – the philosophy in other words, built into the institution, organization, business, human activities, or whatever it may be. It is the philosophy of these institutions, organizations and activities that we need to change to put a stop to, or at least lessen the severity of, the crises we face, the global problems that confront us, above all the climate and nature crises. One institution has an especially crucial role in this respect: our universities. They are dominated in a multitude of ways by a particularly disastrous philosophy, a philosophy of inquiry which may be called knowledge-inquiry. This holds that the basic aim of the university is to acquire and apply knowledge. First, knowledge is to be acquired; once acquired, it can be applied to help solve social problems. But this philosophy of knowledge-inquiry is an intellectual disaster. As a result, universities are, in devastating and almost entirely unrecognized ways, humanitarian disasters too. Judged from the standpoint of helping to promote human welfare, the university shaped by the philosophy of knowledge-inquiry violates THREE of the four most elementary rules of rational problem solving conceivable in a wholesale, structural fashion, and it is this gross, wholesale, structural irrationality of the university, unnoticed by all but a few scientists and scholars, that is in part responsible for the creation of our grave global problems, and our current incapacity to learn how to solve them. The pursuit of knowledge, conducted in universities, within the framework of knowledge-inquiry over the decades and centuries, has produced much of great benefit to humanity. It has made the modern world possible. It has led to modern power production, modern industry and armaments, modern agriculture, modern hygiene and medicine, modern travel and communications, and the internet. But these very successes have also created many of our most serious current global problems: the climate crisis; the destruction of natural habitats, the catastrophic loss of wild life, and impending mass extinction of species (the nature crisis); the lethal character of modern war; the impact on the natural world of the rapid growth of the human population; the menace posed by nuclear weapons; pollution of earth, sea and air; threats to democracy caused in part by the internet and social media. All these grave global problems have been made possible by modern science and technology, pursued largely in universities within the framework of knowledge-inquiry. Nevertheless, it is not science and technology as such that are the problem, but science pursued in a way that is dissociated from a more fundamental task of the university to help humanity resolve conflicts and problems of living in increasingly cooperatively rational ways, so that progress may be made to a better world. Science and technology, pursued within the framework of knowledge-inquiry, create for some of us the power to act, but not the power to act wisely – not the power to learn how to resolve conflicts and problems of living in increasingly cooperatively rational ways. For that, we need our institutions of learning, above all our universities, to take as their primary task to help humanity learn how to do it. In order to do that, the philosophy of inquiry put into practice by universities needs to be dramatically transformed. We urgently need to bring about a revolution in the overall aims and methods of academic inquiry – a revolution in the philosophy of the university, all around the world, wherever possible, so that the basic aim becomes to seek and promote wisdom, construed to be the capacity, active endeavour, and perhaps desire, to realize what is of value in life, for oneself and others, wisdom in this sense including knowledge, understanding and technological know-how, but much else besides, methods being dramatically modified too so as to help achieve the new academic aim. The basic task of the university would be, not to solve problems of knowledge, but rather to help people in the social world beyond the university to resolve conflicts and problems of living so that what is of value in life may be realized by everyone, insofar as that is possible. The pursuit of knowledge would be vital, but not intellectually fundamental. The intellectual and institutional revolution we so urgently need in our universities would affect every discipline and aspect of the university; it would dramatically affect both research and education, and the whole way the university is related to the rest of the social world. The revolution, from knowledge-inquiry to wisdom-inquiry would dramatically enhance the intellectual integrity and rationality of natural science, social inquiry, the humanities and technology, the character of these disciplines and the relationships they have with one another. University education throughout the university would be dramatically improved. And academic inquiry as a whole would do what, on the whole, it fails to do at present: it would help humanity resolve conflicts and problems of living in increasingly cooperatively rational and, as a result, increasingly successful ways, progress at last being made to a genuinely good, civilized world – a world in which there is peace, justice, liberal democracy, individual freedom, education, reasonable equality, sustainable prosperity and worthwhile opportunities in life, all of these for everyone, insofar as this is possible. Why, it may be asked, has academic philosophy not noticed that we urgently need to transform the current bad philosophy of inquiry of knowledge-inquiry into the far more intellectually rigorous and humanly valuable philosophy of wisdom-inquiry, so that we can begin to do what so far we have failed to do so lamentably: learn how to avoid impending disasters, and even make progress to a better world, something that seems at present almost unthinkable given the horrors of war, poverty, political enslavement of the 20th century, and the horrors of this century so far too? The answer is that academic philosophy is in a particularly pitiful state, as philosophers themselves, are just beginning to realize and lament. That is why academic philosophers are blind to the intellectual and humanitarian disaster of the bad philosophy that dominates universities today, and inconceivable to them to them that they might have, as a disciplinary task, to ensure academic inquiry implements a good philosophy of inquiry, and advocate and argue for change if it does not. Once upon a time, in Europe at least, philosophy was an intellectual power in the world. In the 17th century it created modern science which massively increased and improved our knowledge and understanding of the world, which in turn led to the Enlightenment, the industrial revolution, and the modern world. Philosophy was once so intellectually powerful and influential that it changed the course of history. But philosophy also made in the past three disastrous intellectual blunders: the post-Cartesian blunder, the post-Newtonian blunder, and the Enlightenment blunder. Never acknowledged and corrected by subsequent philosophy right down to the present, these unrecognized intellectual blunders rendered academic philosophy the esoteric, pathetic, and powerless discipline it is today, so that throughout the last century and, so far, throughout this one, academic philosophy has remained blind to the intellectual disaster of knowledge-inquiry, and thus failed entirely to take up its proper disciplinary task of warning fellow academics of the structural irrationality of the philosophy that prevails in the university, and of proposing what steps need to be taken to put things right. Instead of performing such an urgently needed philosophical task, so-called analytic philosophy was reduced to analysing the meaning of words. Since then, there has been hardly any discernible improvement, even if analysis of concepts no longer dominates the scene. Bad academic philosophy is indeed responsible for intellectual and humanitarian failures of the university. What the three past intellectual blunders of philosophy are, why their persistence so dramatically reduces academic philosophy to a triviality, and why, furthermore, this results in the failure of scientists and scholars to see what is so blatantly bad about the philosophy prevailing in universities around the world – the failure to see what so urgently needs to be done to put right what has been wrong for so long: all this is made clear in this book. A new kind of philosophy emerges during the course of the argument, critical fundamentalism, which has as its task to keep alive imaginative and critical – that is rational – thinking about our fundamental problem: How can our human world, the world we experience and live in – the world of living things, people, consciousness, free will, meaning and value – how can all of this exist and best flourish embedded as it is in the physical universe? That problem encompasses all others of life, science and thought. Critical fundamentalism tries to improve answers to aspects of this problem; but it also seeks to encourage everyone to think about the problem, from time to time, and think about how it interacts, in both directions, with more urgent particular and specialized problems of life and thought. Critical fundamentalism sets out to help improve bad philosophy wherever it is to be found: in social, political, commercial, legal, financial, and international life; and especially in academia, in institutions of learning, so that they become devoted to enhancing the capacity of people to learn how to achieve what is of genuine value in this brief life of a few decades if we are fortunate. Critical fundamentalism does everything it can to bring about the revolution in our universities we so urgently need. If taken up by mainstream philosophy, it might really have an impact, and begin to transform universities for the better, in both intellectual and humanitarian terms, and thus, enable humanity to learn how, after the grim failures and horrors of the last century and this one, to make progress to a better world. -/- . (shrink)

Mismatch is a prominent concept in evolutionary medicine and a number of philosophers have published analyses of this concept. The word ‘mismatch’ has been used in a diversity of ways across a range of sciences, leading these authors to regard it as a vague concept in need of philosophical clarification. Here, in contrast, we concentrate on the use of mismatch in modelling and experimentation in evolutionary medicine. This reveals a rigorous theory of mismatch within which the term ‘mismatch’ is indeed (...) used in several ways, not because it is ill-defined but because different forms of mismatch are.distinguished within the theory. Contemporary evolutionary medicine has unified the idea of ‘evolutionary mismatch’, derived from the older idea of ‘adaptive lag’ in evolution, with ideas about mismatch in development and physiology derived from the Developmental Origins of Health and Disease (DOHaD) paradigm. A number of publications in evolutionary medicine have tried to make this theoretical framework explicit. We build on these to present the theory in as simple and general a form as possible. We introduce terminology, largely drawn from the existing literature, to distinguish the different forms of mismatch. This integrative theory of mismatch captures how organisms track environments across space and time on multiple scales in order to maintain an adaptive match to the environment, and how failures of adaptive tracking lead to disease. Mismatch is a productive organising concept within this theory which helps researchers articulate how physiology, development and evolution interact with one another and with environmental change to explain health outcomes. (shrink)

Formal and empirical work on the Wisdom of Crowds has extolled the virtue of diverse and independent judgment as essential to the maintenance of ‘wise crowds’. In other words, com-munication and imitation among members of a group may have the negative effect of decreasing the aggregate wisdom of the group. In contrast, it is demonstrable that certain meta-inductive methods provide optimal means for predicting unknown events. Such meta-inductive methods are essentially imitative, where the predictions of other agents (...) are imitated to the extent that those agents have proven successful in the past. Despite the (self-serving) optimality of meta-inductive methods, their imitative nature may undermine the ‘wisdom of the crowd’, since these methods recommend that agents imitate the predictions of other agents. In this paper, I present a replication of selected results of Thorn and Schurz, illustrating the effect on a group’s performance that may result from having members of a group adopt meta-inductive methods. I then expand on the work of Thorn and Schurz by considering three simple measures by which meta-inductive prediction methods may improve their own performance, while simultaneously mitigating their negative impact on group performance. The effects of adopting these maneuvers are investigated using computer simulations. (shrink)

Part of a symposium devoted to ‘Prediction, Understanding, and Medicine’, in which Alex Broadbent argues that the nature of medicine is determined by its competences, i.e., which things it can do well. He argues that, although medicine cannot cure well, it can do a good job of enabling people not only to understand states of the human organism and of what has caused them, but also to predict future states of it. From this Broadbent concludes that medicine is (at least (...) in part) essentially a practice of understanding and predicting, not curing. In reply to this bold position, I mount two major criticisms. First, I maintain that the reasons Broadbent gives for doubting that medicine can cure provide comparable reason for doubting that medicine can provide an understanding; roughly, the best explanation of why medicine cannot reliably cure is that we still lack much understanding of health and disease. Second, I object to the claim that a practice is medical only if it facilitates understanding and prediction. Although Broadbent has brought to light certain desirable purposes of medicine that are under-appreciated, my conclusion is that he has not yet provided enough reason to think that understanding and prediction are essential to it. Instead of supposing that medicine has an essence, in fact, I suggest that its nature is best understood in terms of a property cluster. (shrink)

The article I wrote on the astrology research program (2022) has drawn criticism from G. Dean and I. Kelly (2023) that scarcely touches on my topics of effect sizes in single-factor, multi-factor, and automated whole-chart experimentation. They ignore the meta-analysis of current research and my explanation of emergent effects. Instead they try to impugn all of astrology by arguments that date from the time of Cicero and Augustine.

In biomedical measurement, biomarkers are used to achieve reliable prediction of, and useful causal information about patient outcomes while minimizing complexity of measurement, resources, and invasiveness. A biomarker is an assayable metric that discloses the status of a biological process of interest, be it normative, pathophysiological, or in response to intervention. The greatest utility from biomarkers comes from their ability to help clinicians (and researchers) make and evaluate clinical decisions. In this paper we discuss a specific methodological use of clinical (...) biomarkers in pharmacological measurement: Some biomarkers, called ‘surrogate markers’, are used to substitute for a clinically meaningful endpoint corresponding to events and their penultimate risk factors. We confront the reliability of clinical biomarkers that are used to gather information about clinically meaningful endpoints. Our aim is to present a systematic methodology for assessing the reliability of multiple surrogate markers (and biomarkers in general). To do this we draw upon the robustness analysis literature in the philosophy of science and the empirical use of clinical biomarkers. After introducing robustness analysis we present two problems with biomarkers in relation to reliability. Next, we propose an intervention-based robustness methodology for organizing the reliability of biomarkers in general. We propose three relevant conditions for a robust methodology for biomarkers: (R1) Intervention-based demonstration of partial independence of modes: In biomarkers partial independence can be demonstrated through exogenous interventions that modify a process some number of “steps” removed from each of the markers. (R2) Comparison of diverging and converging results across biomarkers: By systematically comparing partially-independent biomarkers we can track under what conditions markers fail to converge in results, and under which conditions they successfully converge. (R3) Information within the context of theory: Through a systematic cross-comparison of the markers we can make causal conclusions as well as eliminate competing theories. We apply our robust methodology to currently developing Alzheimer’s research to show its usefulness for making causal conclusions. (shrink)

Sustainability science seeks to extend scientific investigation into domains characterized by a distinct problem-solving agenda, physical and social complexity, and complex moral and ethical landscapes. In this endeavor it arguably pushes scientific investigation beyond its usual comfort zones, raising fundamental issues about how best to structure such investigation. Philosophers of science have long scrutinized the structure of science and scientific practices, and the conditions under which they operate effectively. We propose a critical engagement between sustainability scientists and philosophers of science (...) with respect to how to engage in scientific activity in these complex domains. We identify specific issues philosophers of science raise concerning current sustainability science and the contributions philosophers can make to resolving them. In conclusion we reflect on the steps philosophers of science could take to advance sustainability science. (shrink)

Visual imagery is a form of sensory imagination, involving subjective experiences typically described as similar to perception, but which occur in the absence of corresponding external stimuli. We used the Activation Likelihood Estimation algorithm (ALE) to identify regions consistently activated by visual imagery across 40 neuroimaging studies, the first such meta-analysis. We also employed a recently developed multi-modal parcellation of the human brain to attribute stereotactic co-ordinates to one of 180 anatomical regions, the first time this approach has been (...) combined with the ALE algorithm. We identified a total 634 foci, based on measurements from 464 participants. Our overall comparison identified activation in the superior parietal lobule, particularly in the left hemisphere, consistent with the proposed ‘top-down’ role for this brain region in imagery. Inferior premotor areas and the inferior frontal sulcus were reliably activated, a finding consistent with the prominent semantic demands made by many visual imagery tasks. We observed bilateral activation in several areas associated with the integration of eye movements and visual information, including the supplementary and cingulate eye fields (SCEFs) and the frontal eye fields (FEFs), suggesting that enactive processes are important in visual imagery. V1 was typically activated during visual imagery, even when participants have their eyes closed, consistent with influential depictive theories of visual imagery. Temporal lobe activation was restricted to area PH and regions of the fusiform gyrus, adjacent to the fusiform face complex (FFC). These results provide a secure foundation for future work to characterise in greater detail the functional contributions of specific areas to visual imagery. (shrink)

For two reasons, physics occupies a preeminent position among the sciences. On the one hand, due to its recognized position as a fundamental science, and on the other hand, due to the characteristic of its obvious certainty of knowledge. For both reasons it is regarded as the paradigm of scientificity par excellence. With its focus on the issue of epistemic certainty, philosophy of science follows in the footsteps of classical epistemology, and this is also the basis of its 'judicial' (...) pretension vis-à-vis physics. Whereas physics is in a strong competitive relationship to philosophy and epistemology with respect to its position as a fundamental science - even on the subject of cognition, as the pretension of 'reductionism' shows. It is the thematic focus on epistemic certainty itself, however, that becomes the root of a profound epistemological misunderstanding of physics. The reason for this is twofold: first, the idea of epistemic certainty as a criterion of 'demarcation' between physics and metaphysics obscures the view of the much deeper heuristic differences between the two kinds of knowledge. The second, related, reason is that epistemology does not ask the question of the reason for the epistemic certainty of physics; instead, it sets itself the task of 'legitimating' physical knowledge, and this, crucially, with reference to the interpretation of the process of cognition. Thus, as a matter of course, all epistemological assumptions about this process – including the common descriptive understanding of knowledge and its ontological premises – flow into the interpretation of physics as a science. Consequently, this undertaking is not only doubtful from the ground up, because it presupposes for its meaningfulness nothing less than certainty of knowledge concerning (the interpretation of) the process of knowledge, thereby relying on mere convictions; moreover, by projecting the descriptive, 'metaphysical' concept of knowledge onto physics, it leads to unsolvable epistemological problems and corresponding resignative conclusions concerning the claim of knowledge of physics. In other words, epistemology itself builds, due to its basic assumptions, a major obstacle for an adequate understanding of physics. Physics' cross-object, deconstructive approach to knowledge implies a completely different, non-descriptive understanding of its concepts, with consequences that extend far beyond itself due to its status as a basic science. (shrink)

The evidence-based medicine (EBM) movement is touted as a new paradigm in medical education and practice, a description that carries with it an enthusiasm for science that has not been seen since logical positivism flourished (circa 1920–1950). At the same time, the term ‘‘evidence-based medicine’’ has a ring of obviousness to it, as few physicians, one suspects, would claim that they do not attempt to base their clinical decision-making on available evidence. However, the apparent obviousness of EBM can and should (...) be challenged on the grounds of how ‘evidence’ has been problematised in the philosophy of science. EBM enthusiasm, it follows, ought to be tempered. The post-positivist, feminist, and phenomenological philosophies of science that are examined in this paper contest the seemingly unproblematic nature of evidence that underlies EBM by emphasizing different features of the social nature of science. The appeal to the authority of evidence that characterizes evidence-based practices does not increase objectivity but rather obscures the subjective elements that inescapably enter all forms of human inquiry. The seeming common sense of EBM only occurs because of its assumed removal from the social context of medical practice. In the current age where the institutional power of medicine is suspect, a model that represents biomedicine as politically disinterested or merely scientific should give pause. (shrink)

The neurotransmitters GABA and glutamate have been suggested to play a role in Major Depressive Disorder (MDD) through an imbalance between cortical inhibition and excitation. This effect has been highlighted in higher brain areas, such as the prefrontal cortex, but has also been posited in basic sensory cortices. Based on this, magnetic resonance spectroscopy (MRS) was used to investigate potential changes to GABA+ and glutamate+glutamine (Glx) concentrations within the occipital cortex in MDD patients (n = 25) and healthy controls (...) (n = 25). No difference in occipital GABA+ or Glx concentrations, nor in the GABA+/Glx ratio, was found between groups. An analysis of an extended MDD patient and unmatched control dataset (n = 90) found no correlation between metabolite concentrations and depressive symptoms. These results were integrated with prior studies through metabolite-specific meta-analyses, revealing no difference in occipital GABA and Glx concentrations between patients and controls. An effect of publication year on GABA group differences was found, suggesting that previously reported results may have been artifacts of measurement accuracy. Taken together, our results suggest that, contrary to some prior reports, MRS measurements of occipital GABA and Glx do not differ between MDD patients and controls. (shrink)

The University of Tehran English Proficiency Test (UTEPT) is a high-stakes entrance examination taken by more than 10,000 master’s degree holders annually. The examinees’ scores have a significant influence on the final decisions concerning admission to the University of Tehran Ph.D. programs. As a test validation investigation, the present study, which is a bias detection research in nature, utilized multistep logistic regression (LR) procedure to examine the presence of gender differential item functioning (DIF) in the UTEPT with a sample of (...) 6,555 examinees who took the test in November 2006. Specifically, the LR DIF two-degree of freedom Chi-squared test of significance was employed to test the significance of DIF. Following what has been recently suggested in the literature, the test of significance for DIF was accompanied by a measure of magnitude, namely the R-squared effect size for LR DIF, for the interpretation of which the two widely accepted classification schemes were used comparatively. The results reveal that 39 of the 100 items in the test display significant gender differences. However, these group differences are viewed as “negligible” based on both of the schemes. Accordingly, it could be argued that the UTEPT is a gender DIF-free test, though the Reading Comprehension section of the test remains in need of further analysis as it seems that the general trend of DIF indices at the item level may hint at an inclination towards males. (shrink)

This chapter argues that the general philosophy of science should learn metaphilosophical lessons from the case of metaphysical underdetermination, as it occurs in non-relativistic quantum mechanics. Section presents the traditional discussion of metaphysical underdetermination regarding the individuality and non-individuality of quantum particles. Section discusses three reactions to it found in the literature: eliminativism about individuality; conservatism about individuality; eliminativism about objects. Section wraps it all up with metametaphysical considerations regarding the epistemology of metaphysics of science.

This article has been written about the explanation of the scientific affair. There are the philosophical circles that a philosopher must consider their approaches. Postmodern thinkers generally refuse the universality of the rational affair. They believe that the experience cannot reach general knowledge. They emphasize on the partial and plural knowledge. Any human being has his knowledge and interpretation. The world is always becoming. Diversity is an inclusive epistemological principle. Naturally, in such a state, the scientific activity is a non-sense (...) process. The postmodern world is a post-scientific world. Another collection of approaches to science belongs to the analytical philosophy. The main part of analytical philosophy context centers around language. Language is the center of the world. We can study the world through language. Language is the possibility of knowledge. If we overcome the language games, we can study the world accurately. Generally, at present, it seems that the rational thoughts are marginal points in the sea of irrationality. We can probably talk about an anarchistic epistemological situation. Another issue is the role of observation to form a scientific activity. In this situation, the question is whether the observation is the technique of gathering information or the final reference of original scientific analysis. In relation to this issue, the confrontation of science with the families and the categories of the objects is the main problem. For more than two thousand years, the totalitarian heritage of the Aristotelian logic has been the guideline of categorizations for the human being. In order to reach an inclusive and applicable result, we should categorize everything; but it is not really known that if the method of the world categorization is the same or not. The accordance of the conceptual categories with their extensions in the world is one of the main problems which has malfunctioned the scientific system. It is better to say that it has deactivated science. Moreover, there are many interpretations for each event based on its occurrence conditions. For example, consider a fever; In order to diagnose its cause, the most significant factor is the role of a physician. There is no sense in saying that the observation has diagnosed the cause of the fever. This is the observer that plays a determinative role. Another problem is the disputes between realism and instrumentalism. Instrumentalists believe that to form a theory, the concepts are just the tools of scientific researches. Based on realism, but we confront the concepts in the original way. This chaos causes the scientific system to collapse. Now the question is what the solution is. I would like to propose my scheme that is constructed based on a main principle: there is no occurrence in the world unless we can trace the effect of consciousness back in that occurrence. In other words, there is no accident in the world. One can argue that it is the main problem that the effects of consciousness ---if there is such a concept--- is not traceable in the world. An immediate response to this problem is an inefficient technique . The observation is a technique . It is not the method of interpretation. Some people argue that the empirical approach cannot lead us to an authentic criterion to know the world. Because there is no criterion for truth, and if there is probably such a criterion, we can obtain it via several ways. The solution to the first problem is simple. Any occurrence is a truth; even we suppose it as a partial truth. Therefore we can say we face a multi-facial world. It can be the solution of the second problem: if consciousness is essentially the origin of the world and all occurrences, we face consciousness as a unique truth; even its creations contradict each other. If there is no consciousness as a creator of the world and we cannot trace it back in all existents, then what should we do? If there is consciousness, why its creations contradict each other. Since consciousness is a will, it is able to decide in any situation it intends. The issue of contradictory consciousness intentions has a teleological aspect. We cannot judge its teleological substance at present. If we are able to believe that there is no consciousness at all, it will contradict the main practical principle in our lives. Every action that we take in our lives is conjoined with consciousness. We learn many things from many sources. The substance of our instincts and emotions can be questioned. It is true that, infact we cannot analyze our instincts and emotions, but we can discuss explicitly about the rational elements of the instincts. What are these elements? These elements are the quality of their appearance. The quality of instinct appearance is different among beings. The strength and the depth and length of these irrational qualities are different in all beings. What factors or factor cause the differences among these aspects? There is certainly a determinative factor. The same factor which determines the occurrence of any event. Even if we believe in partial knowledge, we must accept the confrontation of the occurrences. Thus it is not possible to refuse the occurrences as the reference unit of knowledge. In spite of the difference, every occurrence, even as a single occurrence, happens and we can regard it as the reference unit of knowledge. Then we can consider every occurrence as an occurred object. When an occurrence happens, then it is a determined object. Everywhere there is a determination, there is certainly a determiner. Why do not we encounter a multi-determinative consciousness? Because there are a few aspects of the unique super-consciousness. These aspects are motion and growth and the amount of constituent material in every being. In all over the world, the difference in these factors creates all differences. Thus we do not encounter the plural consciousness. Is the world birth accidental? Infact, there is no accident. The accident has no meaning in the world. As explained above, the constructing element of the world is the occurrence. An occurrence can be analyzed. Therefore, we should not talk about the accident until we are not able to analyze all phenomena. We can look at every subject from different points of view at present. Thus there is theoretically no possibility to say that a certain matter is the consequence of the accident. The accident is a popular and inexact concept that has no philosophical content. Moreover, the definition of consciousness versus its contradiction causes the collapse of all epistemological axioms. We can ask why we must not define other logical principles against their contradictions. Thinkers who deny the role of logic usually ignore the role of logic. They have not been able to deny the logical function to form an epistemological system because it is not an easy task. In this article some other issues were discussed, such as the consideration of restriction as a stable and firm foundation of knowledge instead of the Descartes cogito. In addition to these philosophical points some other issues were propounded such as the role of instrumental mechanism to form the new science and the great alterations in philosophy and history of Europe. Many issues threaten human civilization. The only way to deal with such threats is certainly to use scientific facilities. The scientific possibilities undoubtedly come from a complete and inclusive scientific theory. The present article is an attempt to explain the scientific affair in order to develop human achievement, however small. -/- . (shrink)

The transport sector is one of the largest sources of greenhouse gas emissions in New Zealand. To address this issue, the government is planning a set of actions to be implemented in the next 15 years. One of these actions deals with transport emissions and targets for a reduction in light vehicle travel. However, to achieve this goal, there is a need for both an updated assessment of effective interventions and an analysis of their relevance and applicability to the New (...) Zealand context. This report seeks to close the gap by conducting a narrative literature review of a collection of existing literature, supplemented with some targeted searches. With the focus on evidence relevant to New Zealand’s largest and fastest growing urban environments, the report identified 24 publicly available research outputs from around the world (mainly from Western European countries). The papers assessed differ not only in the type of research method and analysis applied but also the form of intervention (s) evaluated, the duration of the intervention and follow-up periods, the characteristics of the population groups or intervention sites studied, the measures, results and metrics relevant to New Zealand, and the outcomes of the interventions. Although these differences may represent a challenge in terms of comparability and transferability, they also provide opportunities and lessons for policy-and decision-makers. Finally, the report discusses the implications of the review and its findings and provides some directions and recommendations for future research, policy and practice for the measurement and evaluation of interventions. (shrink)

Evidence-based medicine is a clinical decision-making framework which makes claims about what physicians ought to do. Though heralded as the cutting edge of medical science, evidence-based medicine is a value-laden normative theory which implicitly depends on substantive views regarding what is morally good or right. In this paper, I provide an ethical analysis of evidence-based medicine. I consider its normative underpinnings in three ethical theories: utilitarianism, Kantian deontology, and virtue ethics. In the face of uncertainty, evidence-based medicine endorses expected utility (...) theory using the best available evidence in order to avoid doing more harm than good. In accordance with the Kantian respect for individuals as ends in themselves, evidence-based medicine calls for integrating the values and preferences of the patient. De-emphasizing intuition, clinical expertise, and pathophysiologic rationale emphasizes the need for the intellectual virtues of curiosity, critical thinking, and courage. Evidence-based medicine is a successful clinical practice that can be morally justified by all three major ethical theories. Although its focus on maximizing good health outcomes and integrating respect for individual patients has been emphasized, the role of the intellectual virtues in evidence-based medicine remains highly under-explored. (shrink)

Evidence-based medicine is a clinical decision making framework which makes claims about what physicians ought to do. Though heralded as the cutting edge of medical science evidence-based medicine is a value laden normative theory which implicitly depends on substantive views regarding what is morally good or right. In this paper, I provide an ethical analysis of evidence-based medicine. I consider its normative underpinnings in three ethical theories: utilitarianism, Kantian deontology, and virtue ethics. In the face of uncertainty, evidence-based medicine endorses (...) expected utility theory using the best available evidence in order to avoid doing more harm than good. In accordance with the Kantian respect for individuals as ends in themselves, evidence-based medicine calls for integrating the values and preferences of the patient. De-emphasizing intuition, clinical expertise, and pathophysiologic rationale emphasizes the need for the intellectual virtues of curiosity, critical thinking, and courage. Evidence-based medicine is a successful clinical practice that can be morally justified by all three major ethical theories. Although its focus on maximizing good health outcomes and integrating respect for individual patients has been emphasized, the role of the intellectual virtues in evidence- based medicine remains highly under-explored. (shrink)

Comparing different causes’ importance, and apportioning responsibility between them, requires making good sense of the notion of partial explanation, that is, of degree of explanation. How much is this subjective, how much objective? If the causes in question are probabilistic, how much is the outcome due to them and how much to simple chance? I formulate the notion of degree of causation, or effect size, relating it to influential recent work in the literature on causation. I examine to (...) what extent mainstream social science methods--both quantitative and qualitative--succeed in establishing effect sizes so understood. The answer turns out to be, roughly: only to some extent. Next, the standard understanding of effect size, even though widespread, still has several underappreciated consequences. I detail some of those. Finally, I discuss the separate issue of explanandum-dependence, which is essential to assessing any cause’s explanatory importance and yet which has been comparatively neglected. (shrink)