Many philosophers have come to believe there is no single criterion by which one can distinguish between a science and a pseudoscience. But it need not follow that no distinction can be made: a multifactorial account of what constitutes a pseudoscience remains possible. On this view, knowledge-seeking activities fall on a spectrum, with the clearly scientific at one end and the clearly non-scientific at the other. When proponents claim a clearly non-scientific activity to be scientific, it can be described as (...) a pseudoscience. One feature of a scientific theory is that it forms part of a research tradition being actively pursued by a scientific community. If a theory lacks this form of epistemic warrant, this is a pro tanto reason to regard it as pseudoscientific. (shrink)

Despite the ubiquity of “levels of organization” in the scientific literature, a nascent “levels skepticism” now claims that the concept of levels is an inherently flawed, misleading, or otherwise inadequate notion for understanding how life scientists produce knowledge about the natural world. However, levels skeptics rely on the maligned “layer-cake” account of levels stemming from Oppenheim and Putnam’s defense of the unity of science for their critical commentary. Recourse to layer-cake levels is understandable, as it is arguably the default conception (...) of levels in philosophy. However, relying on this conception of levels undermines the initial plausibility of general dismissals of the concept, because the problems skeptics identify within the “basic idea” of the concept “levels” are merely ones already widely acknowledged in this conception. I illustrate this “guilt by association” by looking at the embedded role of “levels” in articulating intertheoretical reductionism during the latter part of the 20th century. I conclude by suggesting a methodological framework focusing on local usage patterns as a promising means for future analysis of the levels concept. (shrink)

For a long time, philosophers of science have expressed little interest in the so-called demarcation project that occupied the pioneers of their field, and most now concur that terms like “pseudoscience” cannot be defined in any meaningful way. However, recent years have witnessed a revival of philosophical interest in demarcation. In this paper, I argue that, though the demarcation problem of old leads to a dead-end, the concept of pseudoscience is not going away anytime soon, and deserves a fresh look. (...) My approach proposes to naturalize and down-size the concept, anchoring it in real-life doctrines and fields of inquiry. First, I argue against the definite article “the” in “the demarcation problem”, distinguishing between territorial and normative demarcation, and between different failures and shortcomings in science apart from pseudoscience. Next, I argue that pseudosciences can be fruitfully regarded as simulacra of science, doctrines that are not epistemically warranted but whose proponents try to create the impression that they are. In this element of imitation or mimicry, I argue, lies the clue to their common identity. Despite the huge variety of doctrines and beliefs gathered under the rubric of “pseudoscience”, and the wide range of defects from which they suffer, pseudosciences all engage in similar strategies to create an impression of epistemic warrant. The indirect, symptomatic approach defended here leads to a general characterization of pseudosciences in all domains of inquiry, and to a useful diagnostic tool. (shrink)

I argue that the constitutive aim of belief and the constitutive aim of science are both knowledge. The ‘aim of belief’, understood as the correctness conditions of belief, is to be identified with the product of properly functioning cognitive systems. Science is an institution that is the social functional analogue of a cognitive system, and its aim is the same as that of belief. In both cases it is knowledge rather than true belief that is the product of proper functioning.

This paper shows that the history of clinical medicine in the eighteenth century supports Paul Hoyningen-Huene’s thesis that there is a correlation between science and systematicity. For example, James Jurin’s assessment of the safety of variolation as a protection against smallpox adopted a systematic approach to the assessment of interventions in order to eliminate sources of cognitive bias that would compromise inquiry. Clinical medicine thereby became a science. I use this confirming instance to motivate a broader hypothesis, that systematicity is (...) a distinctive feature of science because systematicity is required by processes of knowledge generation that go beyond our everyday cognitive capacities, and these processes are required to produce knowledge of the kinds that science aims at. (shrink)

This paper presents current work in philosophy of science in practice that focusses on practices that are detrimental to the production of scientific knowledge. The paper argues that philosophy of scientific malpractice both provides an epistemological complement to research ethics in understanding scientific misconduct and questionable research practices, and provides a new approach to how training in responsible conduct of research can be implemented.

Philosophy strives to give us a firmer hold on our concepts. But what about their hold on us? Why place ourselves under the sway of a concept and grant it the authority to shape our thought and conduct? Another conceptualization would carry different implications. What makes one way of thinking better than another? This book develops a framework for concept appraisal. Its guiding idea is that to question the authority of concepts is to ask for reasons of a special kind: (...) reasons for concept use, which tell us which concepts to adopt, adhere to, or abandon, thereby shoring up—or undercutting—the reasons for action and belief that guide our deliberations. Traditionally, reasons for concept use have been sought either in timeless rational foundations or in concepts’ inherent virtues, such as precision and consistency. Against this, the book advances two main claims: that we find reasons for concept use in the conceptual needs we discover when we critically distance ourselves from a concept by viewing it from the autoethnographic stance; and that sometimes, concepts that conflict, or exhibit other vices such as vagueness or superficiality, are just what we need. By considering not what concepts are absolutely best, but what concepts we now need, we can reconcile ourselves to the contingency of our concepts, determine the proper place of efforts to tidy up thought, and adjudicate between competing conceptions of things,—even things as contested as liberty or free will. A needs-based approach separates helpful clarification from hobbling tidy-mindedness, and authoritative definition from conceptual gerrymandering. (shrink)

Der Sammelband umfasst Aufsätze zu den Grundfragen, Anwendungen und Grenzen des Unterrichts des Argumentierens, in allen Fächern und mit Fokus auf die Fächer Philosophie und Ethik. Dabei werden Fragen wie diese behandelt: Welchen Zielen dient das Argumentieren und welche verfolgt der Unterricht des Argumentierens? In welchem Verhältnis stehen diese zu anderen Zielen des Unterrichts? Welche Kenntnisse, Fähigkeiten und Tugenden des Argumentierens sollen eingeübt werden und wie? Die vorgeschlagenen Antworten sind nicht nur für Personen aus der Fachdidaktik, sondern auch aus der (...) Philosophie und der Schullehrpraxis aller Fächer interessant. Der Band trägt damit auch zur stärkeren Etablierung des Felds der Argumentationsdidaktik bei. (shrink)

This chapter offers a critique of intelligent design arguments against evolution and a philosophical discussion of the nature of science, drawing several lessons for the teaching of evolution and for science education in general. I discuss why Behe’s irreducible complexity argument fails, and why his portrayal of organismal systems as machines is detrimental to biology education and any under-standing of how organismal evolution is possible. The idea that the evolution of complex organismal features is too unlikely to have occurred by (...) random mutation and selection (as recently promoted by Dembski) is very widespread, but it is easy to show students why such small probability arguments are fallacious. While intelligent design proponents have claimed that the exclusion of supernatural causes mandated by scientific methods is dogmatically presupposed by science, scientists have an empirical justification for using such methods. This justification is instructive for my discussion of how to demarcate science from pseudoscience. I argue that there is no universal account of the nature of science, but that the criteria used to judge an intellectual approach vary across historical periods and have to be specific to the scientific domain. Moreover, intellectual approaches have to be construed as practices based on institutional factors and values, and to be evaluated in terms of the activities of their practitioners. Science educators should not just teach scientific facts, but present science as a practice and make students reflect on the nature of science, as this gives them a better appreciation of the ways in which intelligent design falls short of actual science. (shrink)

The development of the science of poverty has largely been driven by the need to define more precisely what poverty is, as well as to provide theoretical and empirical criteria for identifying those who suffer from it. This thesis focuses on a notable response to these and related questions: the conception and measure of poverty by the British sociologist Peter Townsend. Townsend defines poverty as relative deprivation caused by lack of resources. This conception, along with his corresponding cut-off measure, constitutes (...) some of the key components of his theory of poverty. The theory discusses what poverty is, its causes, and how it can be eradicated, and is detailed in Poverty in the United Kingdom: A Survey of Household Resources and Standards of Living (1979), his magnum opus. The primary aim of this thesis is to interpret the theory from Townsend’s adherence to the value-free ideal. He pursued this ideal in response to what he perceived as the pervasive and deleterious influence of moral and political values on measures, theories, and policies on poverty throughout its scientific and political history. I argue that to be free from such influence, Townsend aimed to be as guided by epistemic values as possible, which resulted in a systematic theory of poverty. -/- The thesis is structured as follows: In Chapter 1, I situate Townsend’s conception and measurement of poverty within the context of both the recent history of scientific poverty lines and the most important approaches to measuring the phenomenon. Chapter 2 discusses the systematic nature of the theory, including its role as a middle-range theory that bridges broad-range theories with empirical data. This connection is achieved through several elements: a conception of poverty; hypotheses and anthropological observations related to the elements of the conception; measures to test these hypotheses; an explanation of poverty; and reports on how the research was conducted. Furthermore, Townsend’s theory aligns with Bradburn et al.’s (2017) measurement theory, which asserts that a good measure must include a conception of the relevant phenomenon, a representation, and procedures to gather data. Additionally, all three components must be supported by arguments showing that they fit together properly. -/- In the remaining chapters, I present and discuss the main elements of the theory: his conception of poverty as relative deprivation caused by lack of resources, along with the related hypotheses and observations (Chapter 3); the representations of this conception and the procedures for data collection, processing, as well as ensuring their reliability (Chapter 4); and the explanation of poverty (Chapter 5). I conclude by presenting what Townsend considered the “policy prescriptions” of his theory. Despite its potential shortcomings, I also argue that Townsend’s theory fulfills an important epistemic value: fruitfulness. (shrink)

Hoyningen-Huene develops an account of what science is, distinguishing it from common sense. According to Hoyningen-Huene, the key distinguishing feature is that science is more systematic. He identifies nine ways in which science is more systematic than common sense. I compare Hoyningen-Huene’s view to a view I refer to as the “Continuity Thesis.” The Continuity Thesis states that scientific knowledge is just an extension of common sense. This thesis is associated with Quine, Planck, and others. I argue that Hoyningen-Huene ultimately (...) rejects the Continuity Thesis, and I present further evidence to show that the Continuity Thesis is false. I also argue that it is the systematicity of science that ultimately grounds the epistemic authority of science. Hoyningen-Huene thus draws attention to an important feature of science that explains the place of science in contemporary society. (shrink)

While medicine is solidly grounded on scientific areas such as biology and chemistry, some argue that it is in its essence not a science at all. With medicine playing a substantial societal role, addressing questions about the scientific nature of medicine is of obvious urgency. This paper takes on such a task and starts by consulting the literature on the “demarcation” problem in the philosophy of science. Learning from failures of earlier approaches, it proposes that we adopt a Deflated Approach, (...) which acknowledges that “science” is a family resemblance concept that admits differences of degrees to nonscientific undertakings. Then, drawing on Paul Hoyningen-Huene’s ; account of systematicity and Alexander Bird’s analysis of examples from the history of medicine, the paper argues that medicine meets the requirement for systematicity on all dimensions and thereby qualifies as a science. The paper then considers and defuses two objections. First, it is shown that nonepistemic differences linked to the distinctive duality of medicine do not warrant thinking that medicine is not science. Second, against some recent criticism, the paper uses homeopathy as an example to show that systematicity can succeed as a demarcation criterion. (shrink)

While medicine is solidly grounded on scientific areas such as biology and chemistry, some argue that it is in its essence not a science at all. With medicine playing a substantial societal role, addressing questions about the scientific nature of medicine is of obvious urgency. This paper takes on such a task and starts by consulting the literature on the “demarcation” problem in the philosophy of science. Learning from failures of earlier approaches, it proposes that we adopt a Deflated Approach, (...) which acknowledges that “science” is a family resemblance concept that admits differences of degrees to nonscientific undertakings. Then, drawing on Paul Hoyningen-Huene’s (Systematicity: The nature of science, Oxford University Press, Oxford, 2013); (Synthese 196: 907–928, 2019) account of systematicity and Alexander Bird’s (Synthese 196: 863–879, 2019) analysis of examples from the history of medicine, the paper argues that medicine meets the requirement for systematicity on all dimensions and thereby qualifies as a science. The paper then considers and defuses two objections. First, it is shown that nonepistemic differences linked to the distinctive duality of medicine do not warrant thinking that medicine is not science. Second, against some recent criticism (Oreskes in Synthese 196: 881–905, 2019), the paper uses homeopathy as an example to show that (synchronic and diachronic) systematicity can succeed as a demarcation criterion. (shrink)

How is metaphysics related to the empirical sciences? Should metaphysics in general be guided by the sources, methods and results of the sciences? And what about the special case of the metaphysics of the social world: should it likewise be guided by the sources, methods and results of the social sciences? In her paper “Social Science as a Guide to Social Metaphysics?”, K. Hawley raises the question: If we are sympathetic to the project of naturalising metaphysics, how should we approach (...) the metaphysics of the social world? She proceeds by discussing three approaches to social metaphysics: inference to the best explanation from current social science, descriptive conceptual analysis, and normative, especially ‘ameliorative’ projects. At the end of her discussion, she reaches a rather pessimistic conclusion, especially as regards the IBE approach: “a number of phenomena indicate that the prospects for securely basing social metaphysics via inference to the best explanation from social science are currently faint. […] We need to look elsewhere if we are to develop a metaphysics of the social world.” In my comments on her paper, I try to re-animate the program of an inductive metaphysics by defending the idea that the method of inference to the best explanation should be the central method of justification for metaphysics in general and for social metaphysics in particular. (shrink)

In this article, an attempt is made to introduce a systematization of the loosely connected group of authors called Bildungstheorie. This ought to not only be of significance for German-speaking educational science, for the concept of Bildung is also increasingly used internationally for the formulation and development of pedagogical issues. It is proposed that the concept of complexity could be suitable for bringing attention to common presuppositions in the theoretical dealing with the problem of Bildung. The thesis is that Bildung (...) in theories of Bildung is described from various perspectives as complex, meaning it is an open and uncertain interplay of components irreducibly associated with planning and governance problems. As this thesis is corroborated by means of selected positions within Bildungstheorie, evidence is provided that complexity in educational science—differently than it may seem at first glance—is not for the first time today a theme of importance. Rather, it is demonstrated that a nascent discipline-specific complexity research can be linked to already existing traditions. (shrink)

In his latest book, Hoyningen-Huene develops a theory of the ‘nature of science’ which distinguishes science from ‘other forms of knowledge’ on the basis that science has a higher degree of systematicity than them. He analyses systematicity along nine dimensions. I argue that Hoyningen-Huene fails to offer a cogent account of the nature of science and that the chief weakness of his view is that he leaves out of the picture the whole issue of the epistemic warrant for scientific theories (...) and their claim to a better understanding of the nature of reality. (shrink)

Paul Hoyningen-Huene argues that what makes scientific knowledge special is its systematic character, and that this can be used to solve the demarcation problem. He labels this STDC: “Systematicity Theory’s Demarcation Criterion.” This paper argues that STDC fails, because there are areas of intellectual activity that are highly systematic, but that the great majority of scientists and historians and philosophers of science do not accept as scientific. These include homepathy, creationism, and climate change denial. I designate these activities “facsimile sciences” (...) because they mimic the appearance of science but are not, by the standards of philosophers and scientists, scientific. This suggests that we need additional criteria to demarcate science from non-science and/ or nonsense. (shrink)

It is generally accepted among philosophers of science that hypothesis testing is a key methodological feature of science. As far as philosophical theories of confirmation are con...

Systematicity theory—developed and articulated by Paul Hoyningen-Huene—and scientific realism constitute separate encompassing and empirical accounts of the nature of science. Standard scientific realism asserts the axiological thesis that science seeks truth and the epistemological thesis that we can justifiably believe our successful theories at least approximate that aim. By contrast, questions pertaining to truth are left “outside” systematicity theory’s “intended scope” ; the scientific realism debate is “simply not” its “focus”. However, given the continued centrality of that debate in the (...) general philosophy of science literature, and given that scientific realists also endeavor to provide an encompassing empirical account of science, I suggest that these two contemporary accounts have much to offer one another. Overlap for launching a discussion of their relations can be found in Nicholas Rescher’s work. Following through on a hint from Rescher, I embrace a non-epistemic, purely axiological scientific realism—what I have called, Socratic scientific realism. And, bracketing the realist’s epistemological thesis, I put forward the axiological tenet of scientific realism as a needed supplement to systematicity theory. There are two broad components to doing this. First, I seek to make clear that axiological realism and systematicity theory accord with one another. Toward that end, after addressing Hoyningen-Huene’s concerns about axiological analysis, I articulate a refined axiological realist meta-hypothesis: it is, in short, that the end toward which scientific inquiry is directed is an increase in a specific subclass of true claims. I then identify a key feature of scientific inquiry, not generally flagged explicitly, that I take to stand as shared terrain for the two empirical meta-hypotheses. And I argue that this feature can be informatively accounted for by my axiological meta-hypothesis. The second broad component goes beyond mere compatibility between the two positions: I argue that, in want of a systematic account of science, we are prompted to find an end toward which scientific inquiry is directed that is deeper than what systematicity theory offers. Specifically, I argue that my refined axiological realist meta-hypothesis is required to both explain and justify key dimensions of systematicity in science. To the quick question, what is it that the scientific enterprise is systematically doing? My quick answer is that it is systematically seeking to increase a particular subclass of true claims. (shrink)

Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains only loosely connected both to its computational framework and to its hypothetical biological underpinnings, which makes its fundamentals unclear. Instead of offering explanations that refer to the same set of (...) principles, we observe systematic equivocations in PP‐based models, or outright contradictions with its avowed principles. To make matters worse, PP‐based models are seldom empirically validated, and they are frequently offered as mere just‐so stories. The large number of PP‐based models is thus not evidence of theoretical progress in unifying perception, action, and cognition. On the contrary, we maintain that the gap between theory and its biological and computational bases contributes to the arrested development of PP as a unificatory theory. Thus, we urge the defenders of PP to focus on its critical problems instead of offering mere re‐descriptions of known phenomena, and to validate their models against possible alternative explanations that stem from different theoretical assumptions. Otherwise, PP will ultimately fail as a unified theory of cognition. (shrink)

In this article, I reply to the preceding articles by Naomi Oreskes, Chrysostomos Mantzavinos, Brad Wray, Sarah Green, Alexander Bird, and Timothy Lyons. These articles contain a number of objections and suggestions concerning systematicity theory, as developed in my book ystematicity: The Nature of Science.

This paper explores the relation between scientific knowledge and common sense intuitions as a complement to Hoyningen-Huene’s account of systematicity. On one hand, Hoyningen-Huene embraces continuity between these in his characterization of scientific knowledge as an extension of everyday knowledge, distinguished by an increase in systematicity. On the other, he argues that scientific knowledge often comes to deviate from common sense as science develops. Specifically, he argues that a departure from common sense is a price we may have to pay (...) for increased systematicity. I argue that to clarify the relation between common sense and scientific reasoning, more attention to the cognitive aspects of learning and doing science is needed. As a step in this direction, I explore the potential for cross-fertilization between the discussions about conceptual change in science education and philosophy of science. Particularly, I examine debates on whether common sense intuitions facilitate or impede scientific reasoning. While contending that these debates can balance some of the assumptions made by Hoyningen-Huene, I suggest that a more contextualized version of systematicity theory could supplement cognitive analysis by clarifying important organizational aspects of science. (shrink)

Framing systematics as a field consistent with scientific inquiry entails that inferences of phylogenetic hypotheses have the goal of producing accounts of past causal events that explain differentially shared characters among organisms. Linking observations of characters to inferences occurs by way of why-questions implied by data matrices. Because of their form, why-questions require the use of common-cause theories. Such theories in phylogenetic inferences include natural selection and genetic drift. Selection or drift can explain ‘morphological’ characters but selection cannot be causally (...) applied to sequences since fitness differences cannot be directly associated with individual nucleotides or amino acids. The relation of selection to sequence data is by way of downward or top-down causation from those phenotypes upon which selection occurs. The application of phylogenetic inference to explain sequence data is thus restricted to instances where drift is the relevant theory; those nucleotides or amino acids that can be explained via downward causation are precluded from inclusion in the data matrix. The restrictions on the inclusion of sequence data in phylogenetic inferences equally apply to species hypotheses, precluding the more restrictive approach known as DNA barcoding. Not being able to discern drift and selection as relevant causal mechanisms can severely constrain the inclusion and explanations of sequence data. Implications of such exclusion are discussed in relation to the requirement of total evidence. (shrink)

Three competing ‘methods’ have been endorsed for inferring phylogenetic hypotheses: parsimony, likelihood, and Bayesianism. The latter two have been claimed superior because they take into account rates of sequence substitution. Can rates of substitution be justified on its own accord in inferences of explanatory hypotheses? Answering this question requires addressing four issues: (1) the aim of scientific inquiry, (2) the nature of why-questions, (3) explanatory hypotheses as answers to why-questions, and (4) acknowledging that neither parsimony, likelihood, nor Bayesianism are inferential (...) actions leading to explanatory hypotheses. The aim of scientific inquiry is to acquire causal understanding of effects. Observation statements of organismal characters lead to implicit or explicit why-questions. Those questions, conveyed in data matrices, assume the truth of observation statements, which is contrary to subsequently invoking substitution rates within inferences to phylogenetic hypotheses. Inferences of explanatory hypotheses are abductive in form, such that some version of an evolutionary theory(ies) is/are included or implied. If rates of sequence evolution are to be considered, it must be done prior to, rather than within abduction, which requires renaming those putatively-shared nucleotides subject to substitution rates. There are, however, no epistemic grounds for renaming characters to accommodate rates, calling into question the legitimacy of causally accounting for sequence data. (shrink)

The problem of demarcating science from nonscience remains unsolved. This article executes an analytical process of elimination of different demarcation proposals put forward since the professionalization of the philosophy of science, explaining why each of those proposals is unsatisfactory or incomplete. Then, it elaborates on how to execute an alternative multicriterial scientific demarcation project put forward by Mahner. This project allows for the demarcation not only of science from non-science and from pseudoscience, but also of different types of sciences and (...) of scientific fields from each other. This article also offers arguments in favor of accepting two types of scientific demarcations, namely epistemic-warrant scientific demarcations and territorial scientific demarcations, and argues in favor of accepting a territorially broad scientific demarcation. (shrink)

1. Overview and organizing themes 2. Historical Review: Aristotle to Mill 3. Logic of method and critical responses 3.1 Logical constructionism and Operationalism 3.2. H-D as a logic of confirmation 3.3. Popper and falsificationism 3.4 Meta-methodology and the end of method 4. Statistical methods for hypothesis testing 5. Method in Practice 5.1 Creative and exploratory practices 5.2 Computer methods and the ‘third way’ of doing science 6. Discourse on scientific method 6.1 “The scientific method” in science education and as seen (...) by scientists 6.2 Privileged methods and ‘gold standards’ 6.3 Scientific method in the court room 6.4 Deviating practices 7. Conclusion Bibliography Academic Tools Other Internet Resources Related Entries . (shrink)

Elämä on nähty merkittävänä aiheena Bergsonin filosofiassa. Elämän filosofinen merkitys Bergsonilla ilmenee selvästi hänen pääteoksessaan L'évolution créatrice (Luova evoluutio, 1907), jossa hän keskittyy inhimillisten tietokykyjen evolutiivisen alkuperän rekonstruointiin ja tieto-opillisiin seurauksiin. Bergsonin mukaan biologia tarjoaa filosofialle tietokykyjen kehitysteoreettisen näkökulman, ja filosofia metafysiikkana täsmentää biologialle sopivaa epistemologiaa. Tässä artikkelissa esittelen Bergsonin filosofisen teorian biologian ja epistemologian vastavuoroisesta suhteesta. Aloitan epistemologian, tieteen ja metafysiikan välisen suhteen selventämisellä Bergsonin teoriassa. Sen jälkeen esittelen, kuinka Bergson näkee tietokykyjen kehittymisen olennaisena osana eläinten yleistä kehityshistoriaa. Analysoimalla (...) eläinkunnan kognitiivisten kykyjen kahta taipumusta, älykkyyttä (intelligence) ja vaistoa (instinct), Bergson kehittää näkemyksen metafysiikasta, jonka avulla on mahdollista selvittää epistemologian ja biologian keskinäistä riippuvuutta ja vastavuoroisuutta. Lopuksi valaisen tätä vastavuoroisuutta Bergsonin analyysilla käsitteellisen tiedon muodostumisesta. (shrink)

Gegenstand dieses Beitrags ist eine Auseinandersetzung mit der Wissenschaftlichkeit der Medizin. Den Leitfaden der Analyse bildet dabei ein jüngerer Ansatz in der analytischen Wissenschaftstheorie, wonach Systematizität als zentrales Kriterium von Wissenschaft anzusehen ist (Hoyningen-Huene 2013). Ich werde im Detail zeigen, dass die Medizin dieses mehrdimensionale Kriterium insgesamt erfüllt, dass aus der Wissenschaftlichkeit der Medizin aber gleichwohl normative Konsequenzen folgen, die beispielsweise zur Abgrenzung von der Homöopathie und einer kritischen Bewertung des biopsychosozialen Modells führen. Zudem resultieren der Anwendungscharakter der Medizin und (...) die zentrale Bedeutung des Arzt-Patienten-Verhältnisses nicht in einer Schwächung des Anspruchs der Medizin als Wissenschaft. (shrink)

Throughout the last century there has been much discussion over what it is that makes an activity or a theory 'scientific'. In the philosophy of science, conversation has focused on differentiating legitimate science from so-called 'pseudoscience'. In the broader cultural sphere this topic has received attention in multiple legal debates regarding the status of creationism, where it has been generally agreed that the 'supernatural' nature of the claims involved renders them unscientific. In this thesis I focus upon the latter of (...) these issues, arguing that although there may be merit in the larger demarcation project of separating science from pseudoscience, the notion of 'supernaturality' does not belong in this adjudication. Due to the complex cultural issues that have played a role in the history of this topic, this will involve a degree of historical and normative analysis alongside more philosophically abstract considerations. Complicating the discussion is thefact that neither the term 'science' nor 'supernatural' enjoys a widely agreed upon definition. In order to assess the question then, I will survey a wide variety of definitions of each term in order to identify areas of potential conflict. I argue that in none of the prevalent understandings can we find impediment to scientific investigation inherent in the supernaturality of a claim, but rather posit that where difficulty arises it does so for more mundane reasons. I conclude that not only is there no inherent issue with scientific investigation of the supernatural, but that the term 'supernatural' itself is too poorly defined to provide a useful role in philosophical discussion. While I argue that notions of supernaturality should be abandoned entirely when assessing demarcation criteria, I concede that numerous extraneous factors, including the significant degree of overlap between the supernatural and the 'religious', warrant consideration of a compromise position. (shrink)

A number of areas of biology raise questions about what is of value in the natural environment and how we ought to behave towards it: conservation biology, environmental science, and ecology, to name a few. Based on my experience teaching students from these and similar majors, I argue that the field of environmental ethics has much to teach these students. They come to me with pent-up questions and a feeling that more is needed to fully engage in their subjects, and (...) I believe some exposure to environmental ethics can help focus their interests and goals. I identify three primary areas in which environmental ethics can con- tribute to their education. The first is an examination of who (or what) should be considered to be part of our moral community (i.e., the community to whom we owe direct duties). Is it humans only? Or does it include all sentient life? Or all life? Or ecosystems considered holistically? Often, readings implicitly assume one or more of these answers; the goal is to make the student more sensitive to these implicit claims and to get them to think about the different reasons that support them. The second area, related to the first, is the application of the different answers concerning the extent of the ethical community to real environmental issues and problems. Students need to be aware of how the different answers concerning the moral community can imply conflicting answers for how we should act in certain cases and to think about ways to move toward conflict resolution. The third area in which environmental ethics can contribute is a more conceptual one, focusing on central concepts such as biodiversity, sustainability, species, and ecosystems. Exploring and evaluating various meanings of these terms will make students more reflective and thoughtful citizens and biologists, sensitive to the implications that different conceptual choices make. (shrink)