Results for 'statistical thinking'

971 found
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  1. Statistical Thinking between Natural and Social Sciences and the Issue of the Unity of Science: from Quetelet to the Vienna Circle.Donata Romizi - 2012 - In Dennis Dieks, Wenceslao J. Gonzalez, Stephan Hartmann, Michael Stöltzner & Marcel Weber (eds.), Probabilities, Laws, and Structures. Berlin: Springer.
    The application of statistical methods and models both in the natural and social sciences is nowadays a trivial fact which nobody would deny. Bold analogies even suggest the application of the same statistical models to fields as different as statistical mechanics and economics, among them the case of the young and controversial discipline of Econophysics . Less trivial, however, is the answer to the philosophical question, which has been raised ever since the possibility of “commuting” statistical (...)
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  2. Creative Thinking and Problem-Solving: Can Preservice Teachers Think Creatively and Solve Statistics Problems?Leslie B. Bacangallo, Roshell T. Buella, Kristine Y. Rentasan, Jupeth Pentang & Ronalyn Bautista - 2022 - Studies in Technology and Education 1 (1):14-27.
    Math prospective teachers must be able to think creatively and solve problems. The study looked into preservice teachers’ creative thinking and problem-solving abilities in statistics. The investigation was guided by a correlational design in a public university in the Philippines. Stratified random sampling was used to select the 103 study participants from two teacher education programs. Through google forms, data were collected using Torrance et al. (2008)’s tests of creative thinking and researcher-made statistics problem test. The findings revealed (...)
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  3. Statistical Evidence, Sensitivity, and the Legal Value of Knowledge.David Enoch, Levi Spectre & Talia Fisher - 2012 - Philosophy and Public Affairs 40 (3):197-224.
    The law views with suspicion statistical evidence, even evidence that is probabilistically on a par with direct, individual evidence that the law is in no way suspicious of. But it has proved remarkably hard to either justify this suspicion, or to debunk it. In this paper, we connect the discussion of statistical evidence to broader epistemological discussions of similar phenomena. We highlight Sensitivity – the requirement that a belief be counterfactually sensitive to the truth in a specific way (...)
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  4. Statistics as Figleaves.Felix Bräuer - 2023 - Topoi 42 (2):433-443.
    Recently, Jennifer Saul (“Racial Figleaves, the Shifting Boundaries of the Permissible, and the Rise of Donald Trump”, 2017; “Racist and Sexist Figleaves”, 2021) has explored the use of what she calls “figleaves” in the discourse on race and gender. Following Saul, a figleaf is an utterance that, for some portion of the audience, blocks the conclusion that some other utterance, R, or the person who uttered R is racist or sexist. Such racial and gender figleaves are pernicious, says Saul, because, (...)
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  5. Knowledge, Evidence, and Naked Statistics.Sherrilyn Roush - 2023 - In Luis R. G. Oliveira (ed.), Externalism about Knowledge. Oxford: Oxford University Press.
    Many who think that naked statistical evidence alone is inadequate for a trial verdict think that use of probability is the problem, and something other than probability – knowledge, full belief, causal relations – is the solution. I argue that the issue of whether naked statistical evidence is weak can be formulated within the probabilistic idiom, as the question whether likelihoods or only posterior probabilities should be taken into account in our judgment of a case. This question also (...)
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  6. Pearson’s Wrong Turning: Against Statistical Measures of Causal Efficacy.Robert Northcott - 2005 - Philosophy of Science 72 (5):900-912.
    Standard statistical measures of strength of association, although pioneered by Pearson deliberately to be acausal, nowadays are routinely used to measure causal efficacy. But their acausal origins have left them ill suited to this latter purpose. I distinguish between two different conceptions of causal efficacy, and argue that: 1) Both conceptions can be useful 2) The statistical measures only attempt to capture the first of them 3) They are not fully successful even at this 4) An alternative definition (...)
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  7.  85
    Four Bottomless Errors and the Collapse of Statistical Fairness.James Brusseau - manuscript
    The AI ethics of statistical fairness is an error, the approach should be abandoned, and the accumulated academic work deleted. The argument proceeds by identifying four recurring mistakes within statistical fairness. One conflates fairness with equality, which confines thinking to similars being treated similarly. The second and third errors derive from a perspectival ethical view which functions by negating others and their viewpoints. The final mistake constrains fairness to work within predefined social groups instead of allowing unconstrained (...)
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  8. Why Inferential Statistics are Inappropriate for Development Studies and How the Same Data Can be Better Used.Ballinger Clint - manuscript
    The purpose of this paper is twofold: -/- 1) to highlight the widely ignored but fundamental problem of ‘superpopulations’ for the use of inferential statistics in development studies. We do not to dwell on this problem however as it has been sufficiently discussed in older papers by statisticians that social scientists have nevertheless long chosen to ignore; the interested reader can turn to those for greater detail. -/- 2) to show that descriptive statistics both avoid the problem of superpopulations and (...)
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  9. Quantitative dynamics of design thinking and creativity perspectives in company context.Georgi V. Georgiev & Danko D. Georgiev - 2023 - Technology in Society 74:102292.
    This study is intended to provide in-depth insights into how design thinking and creativity issues are understood and possibly evolve in the course of design discussions in a company context. For that purpose, we use the seminar transcripts of the Design Thinking Research Symposium 12 (DTRS12) dataset “Tech-centred Design Thinking: Perspectives from a Rising Asia,” which are primarily concerned with how Korean companies implement design thinking and what role designers currently play. We employed a novel method (...)
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  10. Smiting Statist Philosophical Philistinism: a Reply to the Thom Brooks Review of Escape from Leviathan.J. C. Lester - manuscript
    It is possible to pose many difficult and fascinating problems and criticisms for the various theses and arguments in Escape from Leviathan (EfL). This occurred while writing it, and various sharp minds did it on reading drafts or the final product. However, some reviews misunderstand, or ignore, what is written and reassert conventional views. But it is best to answer all published criticisms if only to show how they fail, lest anyone thinks they are sound, and even poor criticisms can (...)
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  11. Statistical Item Analysis of Basic & Integrated Science Process and Skill Test (BISPST) Using Rasch Model and SPSS.Rommel de Gracia & Melanie Gurat - 2016 - International Journal of Research and Review (Ijjr) 3 (11):89-97.
    Item analysis is a general term that refers to the specific methods used in education to evaluate test items, typically for the purpose of test construction and revision. Construction and analysis of science examinations in high school curricula needs the integration of integrated process and skill type which help students develop their rational and logical thinking. This exploratory study aimed to investigate the comparative results of item analyses using Rasch Model Analysis and SPSS. It examined the reliability, mean difficulty, (...)
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  12. The mindsponge and BMF analytics for innovative thinking in social sciences and humanities.Quan-Hoang Vuong, Minh-Hoang Nguyen & Viet-Phuong La (eds.) - 2022 - Berlin, Germany: De Gruyter.
    Academia is a competitive environment. Early Career Researchers (ECRs) are limited in experience and resources and especially need achievements to secure and expand their careers. To help with these issues, this book offers a new approach for conducting research using the combination of mindsponge innovative thinking and Bayesian analytics. This is not just another analytics book. 1. A new perspective on psychological processes: Mindsponge is a novel approach for examining the human mind’s information processing mechanism. This conceptual framework is (...)
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  13. A systems thinking approach to e-learning on climate change: capacity-building for junior high school teachers in the Philippines.John Trixstan Ignacio, Charlotte Kendra Gonzales & Queena Lee-Chua - forthcoming - International Journal of Disaster Resilience in the Built Environment:1-16.
    Purpose A mixed-method study was performed to determine the impact of integrating systems thinking (ST) into an electronic learning module for junior high school teachers in the Philippines. The study aims to assess how an ST approach to pedagogy compared against a conventional approach in terms of contribution to the participants’ global climate change content knowledge, holistic thinking and depth and accuracy of knowledge and reasoning. -/- Design/methodology/approach The study implemented e-learning modules using an ST approach versus a (...)
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  14. An Improbable God Between Simplicity and Complexity: Thinking about Dawkins’s Challenge.Philippe Gagnon - 2013 - International Philosophical Quarterly 53 (4):409-433.
    Richard Dawkins has popularized an argument that he thinks sound for showing that there is almost certainly no God. It rests on the assumptions (1) that complex and statistically improbable things are more difficult to explain than those that are not and (2) that an explanatory mechanism must show how this complexity can be built up from simpler means. But what justifies claims about the designer’s own complexity? One comes to a different understanding of order and of simplicity when one (...)
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  15. The Effectiveness of Fermi Problem solving with Flipped Learning Techniques in Teaching physics on Improving Critical Thinking Skills among Emirati Secondary Students.Adwan Mohammad Hasan Bani-Hamad & Rania Saber Mohammad Alzubaidi - 2021 - RIGEO 11 (8):2730-2743.
    The urgent need of developing novel teaching methods in education to improve the critical thinking skills has been widely discussed by educational experts. The present study aims to investigate the effectiveness of Fermi problem solving with flipped learning techniques in teaching physics on the improvement of critical thinking skills among Emirati tenth graders. The sample of the study consists of 40 male and female secondary students from two secondary schools belonging to Abu Dhabi Department of Education and Knowledge (...)
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  16. Rhetoric and argumentation: how clinical practice guidelines think.Jonathan Fuller - 2013 - Journal of Evaluation in Clinical Practice 19 (3):433-441.
    Introduction: Clinical practice guidelines (CPGs) are an important source of justification for clinical decisions in modern evidence-based practice. Yet, we have given little attention to how they argue their evidence. In particular, how do CPGs argue for treatment with long-term medications that are increasingly prescribed to older patients? Approach and rationale: I selected six disease-specific guidelines recommending treatment with five of the medication classes most commonly prescribed for seniors in Ontario, Canada. I considered the stated aims of these CPGs and (...)
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  17. Wright’s path analysis: Causal inference in the early twentieth century.Zili Dong - 2024 - Theoria. An International Journal for Theory, History and Foundations of Science 39 (1):67–88.
    Despite being a milestone in the history of statistical causal inference, Sewall Wright’s 1918 invention of path analysis did not receive much immediate attention from the statistical and scientific community. Through a careful historical analysis, this paper reveals some previously overlooked philosophical issues concerning the history of causal inference. Placing the invention of path analysis in a broader historical and intellectual context, I portray the scientific community’s initial lack of interest in the method as a natural consequence of (...)
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  18. Identified Person "Bias" as Decreasing Marginal Value of Chances.H. Orri Stefánsson - 2024 - Noûs 58 (2):536-561.
    Many philosophers think that we should use a lottery to decide who gets a good to which two persons have an equal claim but which only one person can get. Some philosophers think that we should save identified persons from harm even at the expense of saving a somewhat greater number of statistical persons from the same harm. I defend a principled way of justifying both judgements, namely, by appealing to the decreasing marginal moral value of survival chances. I (...)
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  19. Who's Afraid of Maxwell's Demon—and Which One?Craig Callender - 2002 - AIP Conference Proceedings 643.
    In 1866 J.C. Maxwell thought he had discovered a Maxwellian demon—though not under that description, of course [1]. He thought that the temperature of a gas under gravity would vary inversely with the height of the column. From this he saw that it would then be possible to obtain energy for work from a cooling gas, a clear violation of Thompson’s statement of the second law of thermodynamics. This upsetting conclusion made him worry that “there remains as far as I (...)
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  20. Determinism and Total Explanation in the Biological and Behavioral Sciences.Rasmus Grønfeldt Winther - 2014 - Encyclopedia of Life Sciences.
    Should we think of our universe as law-governed and “clockwork”-like or as disorderly and “soup”-like? Alternatively, should we consciously and intentionally synthesize these two extreme pictures? More concretely, how deterministic are the postulated causes and how rigid are the modeled properties of the best statistical methodologies used in the biological and behavioral sciences? The charge of this entry is to explore thinking about causation in the temporal evolution of biological and behavioral systems. Regression analysis and path analysis are (...)
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  21. Broomean(ish) Algorithmic Fairness?Clinton Castro - forthcoming - Journal of Applied Philosophy.
    Recently, there has been much discussion of ‘fair machine learning’: fairness in data-driven decision-making systems (which are often, though not always, made with assistance from machine learning systems). Notorious impossibility results show that we cannot have everything we want here. Such problems call for careful thinking about the foundations of fair machine learning. Sune Holm has identified one promising way forward, which involves applying John Broome's theory of fairness to the puzzles of fair machine learning. Unfortunately, his application of (...)
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  22. (1 other version)The Problem of Abortion and the Doctrine of the Double Effect.Philippa Foot - 1967 - Oxford Review 5:5-15.
    One of the reasons why most of us feel puzzled about the problem of abortion is that we want, and do not want, to allow to the unborn child the rights that belong to adults and children. When we think of a baby about to be born it seems absurd to think that the next few minutes or even hours could make so radical a difference to its status; yet as we go back in the life of the fetus we (...)
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  23. Truth, knowledge, and the standard of proof in criminal law.Clayton Littlejohn - 2020 - Synthese 197 (12):5253-5286.
    Could it be right to convict and punish defendants using only statistical evidence? In this paper, I argue that it is not and explain why it would be wrong. This is difficult to do because there is a powerful argument for thinking that we should convict and punish defendants using statistical evidence. It looks as if the relevant cases are cases of decision under risk and it seems we know what we should do in such cases (i.e., (...)
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  24. Hypotheses that attribute false beliefs: A two‐part epistemology.William Roche & Elliott Sober - 2020 - Mind and Language 36 (5):664-682.
    Is there some general reason to expect organisms that have beliefs to have false beliefs? And after you observe that an organism occasionally occupies a given neural state that you think encodes a perceptual belief, how do you evaluate hypotheses about the semantic content that that state has, where some of those hypotheses attribute beliefs that are sometimes false while others attribute beliefs that are always true? To address the first of these questions, we discuss evolution by natural selection and (...)
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  25. Ecomindsponge: A Novel Perspective on Human Psychology and Behavior in the Ecosystem.Minh-Hoang Nguyen, Tam-Tri Le & Quan-Hoang Vuong - 2023 - Urban Science 7 (1):31.
    Modern society faces major environmental problems, but there are many difficulties in studying the nature–human relationship from an integral psychosocial perspective. We propose the ecomind sponge conceptual framework, based on the mindsponge theory of information processing. We present a systematic method to examine the nature–human relationship with conceptual frameworks of system boundaries, selective exchange, and adaptive optimization. The theoretical mechanisms were constructed based on principles and new evidence in natural sciences. The core mechanism of ecomindsponge is the subjective sphere of (...)
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  26. What Else Justification Could Be1.Martin Smith - 2010 - Noûs 44 (1):10-31.
    According to a captivating picture, epistemic justification is essentially a matter of epistemic or evidential likelihood. While certain problems for this view are well known, it is motivated by a very natural thought—if justification can fall short of epistemic certainty, then what else could it possibly be? In this paper I shall develop an alternative way of thinking about epistemic justification. On this conception, the difference between justification and likelihood turns out to be akin to the more widely recognised (...)
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  27. Winners and Losers in the Folk Epistemology of Lotteries.John Turri & Ori Friedman - 2014 - In James R. Beebe (ed.), Advances in Experimental Epistemology. New York: Bloomsbury Academic. pp. 45-69.
    We conducted five experiments that reveal some main contours of the folk epistemology of lotteries. The folk tend to think that you don't know that your lottery ticket lost, based on the long odds ("statistical cases"); by contrast, the folk tend to think that you do know that your lottery ticket lost, based on a news report ("testimonial cases"). We evaluate three previous explanations for why people deny knowledge in statistical cases: the justification account, the chance account, and (...)
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  28. Machine learning in bail decisions and judges’ trustworthiness.Alexis Morin-Martel - 2023 - AI and Society:1-12.
    The use of AI algorithms in criminal trials has been the subject of very lively ethical and legal debates recently. While there are concerns over the lack of accuracy and the harmful biases that certain algorithms display, new algorithms seem more promising and might lead to more accurate legal decisions. Algorithms seem especially relevant for bail decisions, because such decisions involve statistical data to which human reasoners struggle to give adequate weight. While getting the right legal outcome is a (...)
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  29. Hollow Hunt for Harms.Jacob Stegenga - 2016 - Perspectives on Science 24 (5):481-504.
    Harms of medical interventions are systematically underestimated in clinical research. Numerous factors—conceptual, methodological, and social—contribute to this underestimation. I articulate the depth of such underestimation by describing these factors at the various stages of clinical research. Before any evidence is gathered, the ways harms are operationalized in clinical research contributes to their underestimation. Medical interventions are first tested in phase 1 ‘first in human’ trials, but evidence from these trials is rarely published, despite the fact that such trials provide the (...)
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  30. Justified Belief and Just Conviction.Clayton Littlejohn - 2021 - In Jon Robson & Zachary Hoskins (eds.), The Social Epistemology of Legal Trials. Routledge.
    Abstract: When do we meet the standard of proof in a criminal trial? Some have argued that it is when the guilt of the defendant is sufficiently probable on the evidence. Some have argued that it is a matter of normic support. While the first view provides us with a nice account of how we ought to manage risk, the second explains why we shouldn’t convict on the basis of naked statistical evidence alone. Unfortunately, this second view doesn’t help (...)
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  31. Algorithmic Fairness from a Non-ideal Perspective.Sina Fazelpour & Zachary C. Lipton - 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
    Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered (...)
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  32. Bayesians Commit the Gambler's Fallacy.Kevin Dorst - manuscript
    The gambler’s fallacy is the tendency to expect random processes to switch more often than they actually do—for example, to think that after a string of tails, a heads is more likely. It’s often taken to be evidence for irrationality. It isn’t. Rather, it’s to be expected from a group of Bayesians who begin with causal uncertainty, and then observe unbiased data from an (in fact) statistically independent process. Although they converge toward the truth, they do so in an asymmetric (...)
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  33. Intuitive And Reflective Responses In Philosophy.Nick Byrd - 2014 - Dissertation, University of Colorado
    Cognitive scientists have revealed systematic errors in human reasoning. There is disagreement about what these errors indicate about human rationality, but one upshot seems clear: human reasoning does not seem to fit traditional views of human rationality. This concern about rationality has made its way through various fields and has recently caught the attention of philosophers. The concern is that if philosophers are prone to systematic errors in reasoning, then the integrity of philosophy would be threatened. In this paper, I (...)
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  34. ICU triage decisions and biases about time and identity.Joona Räsänen - 2023 - Bioethics 37 (7):662-667.
    We often show a greater inclination to assist and avoid harming people identified as those at high risk of great harm than to assist and avoid harming people who will suffer similar harm but are not identified (as yet). Call this the identified person bias. Some ethicists think such bias is justified; others disagree and claim that the bias is discriminatory against statistical people. While the issue is present in public policy and politics, perhaps the most notable examples can (...)
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  35. Beyond Desartes and Newton: Recovering life and humanity.Stuart A. Kauffman & Arran Gare - 2015 - Progress in Biophysics and Molecular Biology 119 (3):219-244.
    Attempts to ‘naturalize’ phenomenology challenge both traditional phenomenology and traditional approaches to cognitive science. They challenge Edmund Husserl’s rejection of naturalism and his attempt to establish phenomenology as a foundational transcendental discipline, and they challenge efforts to explain cognition through mainstream science. While appearing to be a retreat from the bold claims made for phenomenology, it is really its triumph. Naturalized phenomenology is spearheading a successful challenge to the heritage of Cartesian dualism. This converges with the reaction against Cartesian thought (...)
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    Teacher Competence Towards Job Satisfaction and Teachers’ Performance in Region 10: Basis for Teachers’ Leadership Development Plan.Chibert Jala - 2024 - Etcor Educational Research Center, Inc 3 (4):346-359.
    Aim: This research aimed to determine the teaching competence towards job satisfaction and teacher performance of secondary school teachers of Cagayan de Oro City and Misamis Oriental for the School Year 2020-2021. Methodology: This study utilized a descriptive-survey method of research, a patterned and modified questionnaire of Javillonar and Boni of 2023. The data collected were analyzed using descriptive statistics such as mean and standard deviation to describe the variables of the study where the three hundred fifty secondary (350) secondary (...)
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  37. Evidence amalgamation, plausibility, and cancer research.Marta Bertolaso & Fabio Sterpetti - 2019 - Synthese 196 (8):3279-3317.
    Cancer research is experiencing ‘paradigm instability’, since there are two rival theories of carcinogenesis which confront themselves, namely the somatic mutation theory and the tissue organization field theory. Despite this theoretical uncertainty, a huge quantity of data is available thanks to the improvement of genome sequencing techniques. Some authors think that the development of new statistical tools will be able to overcome the lack of a shared theoretical perspective on cancer by amalgamating as many data as possible. We think (...)
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  38. The diagnosis of mental disorders: the problem of reification.Steven Edward Hyman - 2010 - Annual Review of Clinical Psychology 6:155-179.
    A pressing need for interrater reliability in the diagnosis of mental disorders emerged during the mid-twentieth century, prompted in part by the development of diverse new treatments. The Diagnostic and Statistical Manual of Mental Disorders (DSM), third edition answered this need by introducing operationalized diagnostic criteria that were field-tested for interrater reliability. Unfortunately, the focus on reliability came at a time when the scientific understanding of mental disorders was embryonic and could not yield valid disease definitions. Based on accreting (...)
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  39. Kapitał społeczny ludzi starych na przykładzie mieszkańców miasta Białystok.Andrzej Klimczuk - 2012 - Wiedza I Edukacja.
    "Kapitał społeczny ludzi starych na przykładzie mieszkańców miasta Białystok" to książka oparta na analizach teoretycznych i empirycznych, która przedstawia problem diagnozowania i używania kapitału społecznego ludzi starych w procesach rozwoju lokalnego i regionalnego. Kwestia ta jest istotna ze względu na zagrożenia i wyzwania związane z procesem szybkiego starzenia się społeczeństwa polskiego na początku XXI wieku. Opracowanie stanowi próbę sformułowania odpowiedzi na pytania: jaki jest stan kapitału społecznego ludzi starych mieszkających w Białymstoku, jakim ulega przemianom i jakie jest jego zróżnicowanie? Ludzie (...)
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  40. Curricular Aspects of the Fogarty Bioethics International Training Programs.Sam Garner, Amal Matar, J. Millum, B. Sina & H. Silverman - 2014 - Journal of Empirical Research on Human Research Ethics: An International Journal 9 (2):12-23.
    The curriculum design, faculty characteristics, and experience of implementing masters' level international research ethics training programs supported by the Fogarty International Center was investigated. Multiple pedagogical approaches were employed to adapt to the learning needs of the trainees. While no generally agreed set of core competencies exists for advanced research ethics training, more than 75% of the curricula examined included international issues in research ethics, responsible conduct of research, human rights, philosophical foundations of research ethics, and research regulation and ethical (...)
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  41. There is Cause to Randomize.Cristian Larroulet Philippi - 2022 - Philosophy of Science 89 (1):152 - 170.
    While practitioners think highly of randomized studies, some philosophers argue that there is no epistemic reason to randomize. Here I show that their arguments do not entail their conclusion. Moreover, I provide novel reasons for randomizing in the context of interventional studies. The overall discussion provides a unified framework for assessing baseline balance, one that holds for interventional and observational studies alike. The upshot: practitioners’ strong preference for randomized studies can be defended in some cases, while still offering a nuanced (...)
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  42. Mechanizmy predykcyjne i ich normatywność [Predictive mechanisms and their normativity].Michał Piekarski - 2020 - Warszawa, Polska: Liberi Libri.
    The aim of this study is to justify the belief that there are biological normative mechanisms that fulfill non-trivial causal roles in the explanations (as formulated by researchers) of actions and behaviors present in specific systems. One example of such mechanisms is the predictive mechanisms described and explained by predictive processing (hereinafter PP), which (1) guide actions and (2) shape causal transitions between states that have specific content and fulfillment conditions (e.g. mental states). Therefore, I am guided by a specific (...)
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  43. Culture in Anger Disorder as Culture-Bound Syndrome.Keunchang Oh - 2023 - Journal of Confucian Philosophy and Culture 40:133-155.
    For many, anger has been seen as irrationality, even as illness. But it seems that anger-related disorder and its culture-relatedness have not receive much attention in psychiatry. Like backward-looking ressentiment, hwabyeong 火病can be literally translated into anger disorder. In this paper, I examine the notion of anger and culture with the help of considering the case of hwabyeong as a Korean culture-bound syndrome (hereafter, CBS). Drawing on historical changes in the DSM (Diagnostic and Statistical Manual of Mental Disorders) and (...)
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  44. Revamping molecular biology for the twentieth first century, or putting back the theoretical horse ahead of the technological cart.Armando Aranda-Anzaldo - 2010 - Ludus Vitalis 18 (33):267-270.
    Molecular biology is a relatively new and very successful branch of science but currently it faces challenges posed by very complex issues that cannot be addressed by a traditional reductionist approach. However, despite its origins in the providential shift of some theoretical physicists to biology, currently molecular biology is immersed in a blind trend in which high-throughput technology, able to generate trillions of data, is becoming the leading edge of a discipline that has traded rational and critical thinking for (...)
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  45. Possibilities and Limitations of AI in Philosophical Inquiry Compared to Human Capabilities.Keita Tsuzuki - manuscript
    Traditionally, philosophy has been strictly a human domain, with wide applications in science and ethics. However, with the rapid advancement of natural language processing technologies like ChatGPT, the question of whether artificial intelligence can engage in philosophical thinking is becoming increasingly important. This work first clarifies the meaning of philosophy based on its historical background, then explores the possibility of AI engaging in philosophy. We conclude that AI has reached a stage where it can engage in philosophical inquiry. The (...)
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  46. Two Psychological Defenses of Hobbes’s Claim Against the “Fool”.Gregory J. Robson - 2015 - Hobbes Studies 28 (2):132-148.
    _ Source: _Volume 28, Issue 2, pp 132 - 148 A striking feature of Thomas Hobbes’s account of political obligation is his discussion of the Fool, who thinks it reasonable to adopt a policy of selective, self-interested covenant breaking. Surprisingly, scholars have paid little attention to the potential of a psychological defense of Hobbes’s controversial claim that the Fool behaves irrationally. In this paper, I first describe Hobbes’s account of the Fool and argue that the kind of Fool most worth (...)
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  47. Developing Ian Hacking's ‘Styles Project’: Towards a ‘Theory of Styles of Reasoning’.Luca Sciortino - 2023 - New York: Palgrave-McMillan.
    This chapter expounds Hacking’s project of styles of reasoning more systematically than Hacking himself has done, while the following chapters examine its philosophical implications. I shall show that, in addition to the statistical and the laboratory style described in Chap. 3, there exist other four styles of reasoning that share a set of common characterizing features: the algorithmic, the postulational, the historico-genetic and the taxonomic style of reasoning. All the differences notwithstanding, striking parallels can be drawn between these different (...)
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  48. Finding the way in phenotypic space: the origin and maintenance of constraints on organismal form.Massimo Pigliucci - 2007 - Annals of Botany 100:433-438.
    Background: One of the all-time questions in evolutionary biology regards the evolution of organismal shapes, and in particular why certain forms appear repeatedly in the history of life, others only seldom and still others not at all. Recent research in this field has deployed the conceptual framework of constraints and natural selection as measured by quantitative genetic methods. Scope: In this paper I argue that quantitative genetics can by necessity only provide us with useful statistical sum- maries that may (...)
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  49. Quantile regression model on how logical and rewarding is learning mathematics in the new normal.Leomarich Casinillo - 2024 - Palawan Scientist 16 (1):48-57.
    Learning mathematics through distance education can be challenging, with the “logical” and “rewarding” nature proving difficult to measure. This article aimed to articulate an argument explaining the “logical” and “rewarding” nature of online mathematics learning, elucidating their causal factors. Existing data from the literature that involving students at Visayas State University, Philippines, were utilized in this study. The study used statistical measures to capture descriptions from the data, and quantile regression analysis was employed to forecast the predictors of the (...)
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  50. Higher-Order Intentionality and Dretske's View of Analytic Knowledge.Sudan A. Turner - manuscript
    Dretske makes arguments in which he suggests three levels of the intentionality of knowledge: (1) a low level belonging to law-like causal relationships between physical properties, (2) a middle level defined in terms of the intensionality of sentences describing knowledge of these properties, and (3) a highest level of human cognition. Acknowledging the need to explain humans’ analytic knowledge, however, he proposes that we know a proposition P analytically when we know that P entails Q, even though P and Q (...)
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