There has been a growing concern over establishing norms that ensure the ethically acceptable and scientifically sound conduct of clinical trials. Among the leading norms internationally are the World Medical Association's Declaration of Helsinki, guidelines by the Council for International Organizations of Medical Sciences, the International Conference on Harmonization's standards for industry, and the CONSORT group's reporting norms, in addition to the influential U.S. Federal Common Rule, Food and Drug Administration's body of regulations, and information sheets by the Department of (...) Health and Human Services. There are also many norms published at more local levels by official agencies and professional groups.Any account of international standards should cover both scientific and ethical norms at once – the two are conceptually intertwined. Recent sources recognize that “[s]cientifically unsound research on human subjects is unethical in that it exposes research subjects to risks without possible benefit.”. (shrink)

BACKGROUND: Many published accounts of clinical trials report no differences between the treatment arms, while being underpowered to find differences. This study determined how the authors of these reports interpreted their findings. STUDY DESIGN: We examined 54 reports of surgical trials chosen randomly from a database of 110 influential trials conducted in 2008. Seven that reported having adequate statistical power were excluded from further analysis, as were the 32 that reported significant differences between the treatment arms. We examined the remaining (...) 15 to see whether the authors interpreted their negative findings appropriately. Appropriate interpretations discussed the lack of power and/or called for larger studies. RESULTS: Three of the 7 trials that did not report an a priori power calculation offered inappropriate interpretations, as did 3 of the 8 trials that reported an a priori power < 0.90. However, we examined only a modest number of trial reports from 1 year. CONCLUSIONS: Negative findings in underpowered trials were often interpreted as showing the equivalence of the treatment arms with no discussion of the issue of being underpowered. This may lead clinicians to accept new treatments that have not been validated. (shrink)

Background If trials of therapeutic interventions are to serve society's interests, they must be of high methodological quality and must satisfy moral commitments to human subjects. The authors set out to develop a clinical - trials compendium in which standards for the ethical treatment of human subjects are integrated with standards for research methods. Methods The authors rank-ordered the world's nations and chose the 31 with >700 active trials as of 24 July 2008. Governmental and other authoritative entities of the (...) 31 countries were searched, and 1004 English-language documents containing ethical and/or methodological standards for clinical trials were identified. The authors extracted standards from 144 of those: 50 designated as ‘core’, 39 addressing trials of invasive procedures and a 5% sample of the remainder. As the integrating framework for the standards we developed a coherent taxonomy encompassing all elements of a trial's stages. Findings Review of the 144 documents yielded nearly 15 000 discrete standards. After duplicates were removed, 5903 substantive standards remained, distributed in the taxonomy as follows: initiation, 1401 standards, 8 divisions; design, 1869 standards, 16 divisions; conduct, 1473 standards, 8 divisions; analysing and reporting results, 997 standards, four divisions; and post-trial standards, 168 standards, 5 divisions. Conclusions The overwhelming number of source documents and standards uncovered in this study was not anticipated beforehand and confirms the extraordinary complexity of the clinical trials enterprise. This taxonomy of multinational ethical and methodological standards may help trialists and overseers improve the quality of clinical trials, particularly given the globalisation of clinical research. (shrink)

The pessimistic induction plays an important role in the contemporary realism/anti-realism debate in philosophy of science. But there is some disagreement about the structure and aim of the argument. And a number of scholars have noted that there is more than one type of PI in the philosophical literature. I review four different versions of the PI. I aim to show that PIs have been appealed to by philosophers of science for a variety of reasons. Even some realists have appealed (...) to a PI. My goal is to advance our understanding of what the various PIs can teach us about science and the threat posed by PIs to scientific realism. (shrink)

The covid-19 pandemic affected nonhuman animals in numerous ways. Lockdowns led to nonhumans reclaiming parks, roads and wild spaces (p. 54), but preventing infections also involved the culling of minks in Denmark (p. 191), as well as numerous other negative impacts on nonhumans. In his book, Jeff Sebo uses the pandemic as a platform from which to consider the questions of why and how animals matter for global catastrophes. To date, philosophers have focused largely on the question of whether (and (...) in what way) nonhuman animals should be included in moral theories. Outside this, discussion of animals takes place at the margins of moral philosophy. Sebo’s book shows us why this is a mistake and why nearly all philosophers, social scientists and policymakers should consider them. (shrink)

The scientific realism-antirealism debate concerns theories in general. However, as soon as the discussion draws arguments from the historical development of science, some issues emerge concerning how we should regard current theories in particular, as opposed to past and future ones. Positions here range between two extremes: on the one hand a radical version of the pessimistic meta-induction (PMI) would have it that since all past theories older than 100 - 150 years have been proven radically false and rejected , (...) all present and future theories will be rejected within 100-150 year, and there can be no truth in science (at most, empirical adequacy). On the opposite extreme blunt optimists like Doppelt (2007, 2011, 2014) or Park (2017a ... On treating differently....) hold that, given the astonishing qualitative and quantitative technical and methodological progress of research in the last century or so (Fahrbach 2011), current best theories are almost completely and exactly true, so that further progress, besides adding new knowledge, can at best correct minor details of present day theories: they will not be refuted, because they have a “unique status” in the history of their discipline, distinguishing them from other theories, since they “stand alone at the pinnacle of the entire field of inquiry” (Doppelt 2014, p. 285). But evidence is against both extremes: radical pessimism cannot explain why even the ancient and now rejected theories were predictively successful: some of their predictions were as precise as utterly unforeseen and unforeseeable, so that they couldn’t be gotten right except by a miracle. But an explanation of those successes is available, and it is that those theories had some true components which by themselves were sufficient to derive their predictions, and have actually been located by recent research. Therefore past theories were not completely false; hence, even the PMI cannot show that current theories are completely false. Again, radical pessimism cannot explain the rapidly increasing rate of success of science; which again, is plainly explained by the fact that the true components of older theories are typically preserved in current ones. On the other hand, it is a priory implausible that just now we have reached the “end of history” in scientific research, a sort of promised land of pure truths, or Peirce’s ideal limit of research, and that our science is infallible. We see the mistakes of past science, while we obviously cannot see those of present science, and this ingenerates the illusion that there are none. But we have seen the same illusion arising in the past, age after age, only to be deluded: in the 18th Century people thought Newton had definitely opened up for us God’s blueprint of the Universe. In 1874 Philipp von Jolly advised a young Max Planck against studying physics, because “In this field, almost everything is already discovered, and all that remains is to fill a few holes”. In addition, we positively know that there are mistakes in current theories because even two of the most successful ones, quantum mechanics and relativity, are at variance with one another and are beset by unsolved riddles. No doubt contemporary science has made astonishing empirical and methodological progresses with respect to past science. But also in modern science vs. medieval science, etc. Nonetheless, even in the past empirical knowledge and scientific methodology had improved steadily: for instance, they had improved a lot from 1000 AD to 1700 AD, yet many wrong theories were still held at that date, and even thereafter. So, is hard to think that any improvement of our background empirical knowledge and methods can at some point make scientists practically infallible; and even more that this point has already been reached. Brad Wray (2016) pointed out that, just like at any time there are unconceived alternatives to the current theories, there are also unconceived methods (and instruments), by which those theories could be overthrown, like the discovery of the astronomical telescope in the helped overthrowing geocentrism, the discovery of the microscope jeopardized the theories of spontaneous generation, etc. Such new methods and instruments are produced all the time by the very progress of science, so the very advancements of contemporary science allows us to suppose that many will be discovered even in the next future, which will undermine today’s theories, opening the way to new revolutions. The arguments against both extremes are all sound, and beware, they are not mutually incompatible! Together, therefore, they drive to a moderate intermediate position: current theories are partly true, in fact more (perhaps much more) largely true than past ones, yet they probably still include important false components which might be replaced by future revolutionary changes, more or less like Newton’s absolute space and time and gravitational theory were replaced by Einstein’s spacetime and by its curvature, or the dichotomy of matter and energy, still surviving in late 19th Century electromagnetism and statistical mechanics was replaced by the continuum of quantum mechanics and special relativity. Contrary to Kuhn’s view, revolutions and progress go hand in hand. Of course current science stands on much firmer grounds than pre-20th Century science, yet there are continuities which justify some inductive inferences from past to present and future: we are still humans, basically using the same cognitive tool, reason and the five senses, and subject to the same cognitive limits; scientific method is basically the same; above all, Nature is still very complex, in fact unfathomably complex: it works in different ways at different scales or different locations in space or time. For instance, it is (roughly) deterministic at large scales, but indeterministic at small scales; the physical laws today are probably different from those a few instants after the Big Bang; entropy increases over time in the universe as a whole, but it may decrease in local areas or over short time spans; etc. (Alai 2017, 3282). Every great advancement in science has shown us unsuspected deeper and more basic layers of the structure of Nature, and we don’t know how many of those still lie ahead. Any of those discoveries brought out some basic mistake in our understanding of some of nature’s mechanisms, so spurred some kind of revolution. Induction is a correct inference pattern in general, and it may correctly be applied to past science, on condition of taking a correct image of past science as a premise. If this is done, the conclusion is a more balanced judgment of current and future theories, neither completely pessimistic nor implausibly optimistic. What we observe in past science is that (1) every single theory has been found to be mistaken and replaced; yet (2) mistaken but predictively successful theories had some true components (those essential to deriving their successful predictions); (3) those components were typically preserved in replacing theories, which therefore were more largely true. Since there is no reason to think that this trend is still on, we should conclude that current theories are more largely true than earlier ones, but still partly false. Even if not all the content of current theories exceeding old ones is probably true and will be preserved in the future, still we can appreciate one by one the new pieces of information and the corrections brought up by current theories, and we see they are really many. However, we cannot tell what in our theories is the percent of truth vs. falsity. A fortiori, therefore, we cannot tell how much more largely true than past theories they are, i.e. measure the difference in the respective percents of truth. Even less, of course, can we tell what percent of the whole truth on its particular subject a theory has gotten, since we don’t know what the whole truth is. It might be suggested that if the assumptions which were essential in deriving novel successful predictions are most probably true, as selectivists believe, then we should be able to discriminate what is true and what is false in our theories. However, this is not the case for two reasons. First, even assumptions which have not been so essentially employed might be true: only, we don’t have the acid test of it. Second, essential hypotheses typically appear in the derivation of novel predictions as undistinguished parts of stronger hypotheses which play the official role in the derivation; the latter are not essential, because the prediction might equally well have been derived by their essential part, even if this typically goes unnoticed. Furthermore, it can be argued that the essential content of an hypotheses often can be distinguished from its non-essential content only negatively, retrospectively and in hindsight (Alai 2021). That is, suppose H is an assumption which we now believe to be true because we believe was used essentially in deriving a successful prediction. If in the future we discover that is false, that will be sign that it had not actually been essential, and our discovery will also show which part H’ of H is wrong, hence, not essential. This however will not yet guarantee that all of the remaining part H” was essential and is true. Therefore, looking at current theories, we are entitled to believe that there is some truth in them, and more precisely that there is some truth in some hypotheses which appear to have been essential to certain novel predictions; however, we cannot be certain of what exactly is true in them. If we would, that would make our heuristics much easier than they are, for in face of any experimental failure of a theory we would know precisely and in advance which parts of it should not be modified and substituted. A further difficulty is that here my talk of “parts” of theories and hypotheses is vague and rather metaphorical, and there may be different ways (none easy, anyway) to rephrase it literally. So, this adds uncertainty to our outlook. For instance, suppose we formalize theories as collections of sentences, as in the classical “statement view”: then, it might be the case that 95% of the empirical atomic sentences of T are correct, that 50% of its middle-level theoretical atomic sentences are correct, but that 90% of the few very basic atomic theoretical sentences are wrong. If so, it might be matter of taste whether to call T largely true or largely false, but it would be certainly correct to call a “revolution” the substitution of T by a theory T’ which preserved most of the empirical and middle-level theoretical sentences of T while substituting 90% of its very basic theoretical sentences. Now, nothing allows us to exclude that a number of our best theories today is in a position like T. From this and the previous arguments it follows that it cannot be excluded, and in fact it is rather probable that our science, successful and largely true as it is, will undergo a number of revolutions in the future. (shrink)

The recruitment of respondents belonging to ethnic minorities poses important challenges in social and health research. This paper reflects on the enablers and barriers to recruitment that we encountered in our research work with persons belonging to ethnic minorities. Additionally, we applied the Matching Model of Recruitment, a theoretical framework concerning minority recruitment, to guide our reflection. We also explored its applicability as a research design tool. In assessing our research experience, we learned that minority recruitment in social and health (...) research is influenced by the social context of all key players involved in the research. Also, there are enablers and barriers within that social context facilitating or delaying the recruitment process. The main enablers to recruit respondents belonging to ethnic minorities include working with community agencies and gatekeepers who share a common vision with researchers and the latter’s ability to gain the trust of potential respondents. The main barriers include demanding too much from these same community agencies and gatekeepers and ignoring factors that could delay the completion of the research. Although we found the Matching Model of Recruitment to be an effective tool in assessing the processes of recruiting respondents belonging to ethnic minorities, further empirical research is needed to explore its usefulness during the research planning phase. (shrink)

In this book K. Brad Wray provides a comprehensive survey of the arguments against scientific realism. In addition to presenting logical considerations that undermine the realists' inferences to the likely truth or approximate truth of our theories, he provides a thorough assessment of the evidence from the history of science. He also examines grounds for a defence of anti-realism, including an anti-realist explanation for the success of our current theories, an account of why false theories can be empirically successful, (...) and an explanation for why we should expect radical changes of theory in the future. His arguments are supported and illustrated by cases from the history of science, including a sustained study of the Copernican Revolution, and a study of the revolution in early twentieth century chemistry, when chemists came to classify elements by their atomic number rather than by their atomic weight. (shrink)

Kuhn's Structure of Scientific Revolutions has been enduringly influential in philosophy of science, challenging many common presuppositions about the nature of science and the growth of scientific knowledge. However, philosophers have misunderstood Kuhn's view, treating him as a relativist or social constructionist. In this book, Brad Wray argues that Kuhn provides a useful framework for developing an epistemology of science that takes account of the constructive role that social factors play in scientific inquiry. He examines the core concepts of (...) Structure and explains the main characteristics of both Kuhn's evolutionary epistemology and his social epistemology, relating Structure to Kuhn's developed view presented in his later writings. The discussion includes analyses of the Copernican revolution in astronomy and the plate tectonics revolution in geology. The book will be useful for scholars working in science studies, sociologists and historians of science as well as philosophers of science. (shrink)

Despite an abundance of theoretical literature on virtue ethics in nursing and health care, very little research has been carried out to support or refute the claims made. One such claim is that ethical nursing is what happens when a good nurse does the right thing. The purpose of this descriptive, qualitative study was therefore to examine nurses’ perceptions of what it means to be a good nurse and to do the right thing. Fifty-three nurses responded to two open-ended questions: (...) (1) a good nurse is one who...; and (2) how does a nurse go about doing the right thing? Three hundred and thirty-one data units were analysed using qualitative content analysis. Seven categories emerged: personal characteristics, professional characteristics, patient centredness, advocacy, competence, critical thinking and patient care. Participants viewed ethical nursing as a complex endeavour in which a variety of decision-making frameworks are used. Consistent with virtue ethics, high value was placed on both intuitive and analytical personal attributes that nurses bring into nursing by virtue of the persons they are. Further investigation is needed to determine just who the ‘good nurse’ is, and the nursing practice and education implications associated with this concept. (shrink)

We first discuss Chang’s criticism of the correspondence theory of truth and of what he calls ‘correspondence realism’. We think that correspondence can be rescued if properly reshaped. We then take up Chang’s alternative to the correspondence theory of truth, his ‘truth-by-operational-coherence’, which we think does not fit many truths from social life. The topic of realism, implicitly present already in the previous topics, is subsequently explicitly treated. What Chang calls realism is, in effect, very close to what has customarily (...) been called anti-realism. Finally, we discuss the tension that exists in Chang’s book between his vigorous defense of pluralism on the object-level and his apparently taken-for-granted monism on the metalevel, namely pragmatism. (shrink)

Thomas Kuhn’s The Structure of Scientific Revolutions offers an insightful and engaging theory of science that speaks to scholars across many disciplines. Though initially widely misunderstood, it had a profound impact on the way intellectuals and educated laypeople thought about science. K. Brad Wray traces the influences on Kuhn as he wrote Structure, including his ‘Aristotle epiphany’, his interactions, and his studies of the history of chemistry. Wray then considers the impact of Structure on the social sciences, on (...) the history of science, and on the philosophy of science, where the problem of theory change has set the terms of contemporary realism/anti-realism debates. He examines Kuhn’s frustrations with the Strong Programme sociologists’ appropriations of his views, and debunks several popular claims about what influenced Kuhn as he wrote Structure. His book is a rich and comprehensive assessment of one of the most influential works in the modern sciences. (shrink)

Margaret Gilbert explores the phenomenon referredto in everyday ascriptions ofbeliefs to groups. She refers to this type ofphenomenon as ``collective belief'' andcalls the types of groups that are the bearersof such beliefs ``plural subjects''. Iargue that the attitudes that groups adoptthat Gilbert refers to as ``collectivebeliefs'' are not a species of belief in animportant and central sense, but rathera species of acceptance. Unlike proper beliefs,a collective belief is adopted bya group as a means to realizing the group'sgoals. Unless we recognize (...) that thisphenomenon is a species of acceptance, pluralsubjects will seem prone to changetheir ``beliefs'' for irrelevant reasons, andthus frequently appear to act in anirrational manner. (shrink)

I examine the epistemic import of collaborative research in science. I develop and defend a functional explanation for its growing importance. Collaborative research is becoming more popular in the natural sciences, and to a lesser degree in the social sciences, because contemporary research in these fields frequently requires access to abundant resources, for which there is great competition. Scientists involved in collaborative research have been very successful in accessing these resources, which has in turn enabled them to realize the epistemic (...) goals of science more effectively than other scientists, thus creating a research environment in which collaboration is now the norm. (shrink)

I examine whether or not it is apt to attribute knowledge to groups of scientists. I argue that though research teams can be aptly described as having knowledge, communities of scientists identified with research fields, and the scientific community as a whole are not capable of knowing. Scientists involved in research teams are dependent on each other, and are organized in a manner to advance a goal. Such teams also adopt views that may not be identical to the views of (...) the individual members of the group. (shrink)

My aim is to evaluate a new realist strategy for addressing the pessimistic induction, Ludwig Fahrbach’s (Synthese 180:139–155, 2011) appeal to the exponential growth of science. Fahrbach aims to show that, given the exponential growth of science, the history of science supports realism. I argue that Fahrbach is mistaken. I aim to show that earlier generations of scientists could construct a similar argument, but one that aims to show that the theories that they accepted are likely true. The problem with (...) this is that from our perspective on the history of science we know their argument is flawed. Consequently, we should not be impressed or persuaded by Fahrbach’s argument. Fahrbach has failed to identify a difference that matters between today’s theories and past theories. But realists need to find such a difference if they are to undermine the pessimistic induction. (shrink)

I argue that van Fraassen’s selectionist explanation for the success of science is superior to the realists’ explanation. Whereas realists argue that our current theories are successful because they accurately reflect the structure of the world, the selectionist claims that our current theories are successful because unsuccessful theories have been eliminated. I argue that, unlike the explanation proposed by the realist, the selectionist explanation can also account for the failures of once successful theories and the fact that sometimes two competing (...) theories are both equally successful. (shrink)

Van Fraassen believes our current best theories enable us to make accurate predictions because they have been subjected to a selection process similar to natural selection. His explanation for the predictive success of our best theories has been subjected to extensive criticism from realists. I aim to clarify the nature of van Fraassen’s selectionist explanation for the success of science. Contrary to what the critics claim, the selectionist can explain why it is that we have successful theories, as well as (...) why it is reasonable to expect past successful theories to be successful in the future. I also argue that the plausibility of the realists’ explanation rests on an inaccurate understanding of the nature of predictive success . The predictive success of our best theories is a relative success. (shrink)

I aim to clarify the relationship between the success of a theory and the truth of that theory. This has been a central issue in the debates between realists and anti-realists. Realists assume that success is a reliable indicator of truth, but the details about the respects in which success is a reliable indicator or test of truth have been largely left to our intuitions. Lewis (Synthese 129:371–380, 2001) provides a clear proposal of how success and truth might be connected, (...) comparing a test of success of our theories to medical tests with low rates of false positives and false negatives. But, contrary to what Lewis claims, I argue that it is not enough for the realist to undercut the claim that success is not a reliable indicator of truth. Rather, the realist must show that our current best theories are likely true. Further, I argue that tests in science are unlike medical tests in a number of important ways. (shrink)

The anti-realist argument from underconsideration focuses on the fact that, when scientists evaluate theories, they only ever consider a subset of the theories that can account for the available data. As a result, when scientists judge one theory to be superior to competitor theories, they are not warranted in drawing the conclusion that the superior theory is likely true with respect to what it says about unobservable entities and processes. I defend the argument from underconsideration from the objections of Peter (...) Lipton. I argue that the inconsistency that Lipton claims to find in the argument vanishes once we understand what the anti-realist means when she claims that scientists are reliable. I also argue that collapsing the distinction between relative and absolute evaluations, as Lipton recommends, has its costs. Finally, I briefly examine Richard Boyd's influential defence of realism. (shrink)

David Hull accounts for the success of science in terms of an invisible hand mechanism, arguing that it is difficult to reconcile scientists' self-interestedness or their desire for recognition with traditional philosophical explanations for the success of science. I argue that we have less reason to invoke an invisible hand mechanism to explain the success of science than Hull implies, and that many of the practices and institutions constitutive of science are intentionally designed by scientists with an eye to realizing (...) the very goals that Hull believes need to be explained by reference to an invisible hand mechanism. Thus, I reduce the scope of Hull's invisible hand explanation and supplement it by appealing to a hidden hand explanation. (shrink)

I examine two challenges that collaborative research raises for science. First, collaborative research threatens the motivation of scientists. As a result, I argue, collaborative research may have adverse effects on what sorts of things scientists can effectively investigate. Second, collaborative research makes it more difficult to hold scientists accountable. I argue that the authors of multi-authored articles are aptly described as plural subjects, corporate bodies that are more than the sum of the individuals involved. Though journal editors do not currently (...) conceive of the authors of multi-authored articles this way, this conception provides us with the conceptual resources to make sense of how collaborating scientists behave.Keywords: Collaborative research; Authorship; Multi-authored articles; Responsibility; Reward system; Plural subject. (shrink)

Thomas Kuhn's The Structure of Scientific Revolutions has sold more than one million copies since its publication in 1962, is one of the most cited academic books of all time, and continues to be read and studied today. This volume of new essays evaluates the significance of Kuhn's classic book in its changing historical context, including its initial reception and its lasting effects. The essays explore the range of ideas which Kuhn made popular with his influential philosophy of science, including (...) paradigms, normal science, paradigm changes, scientific revolutions, and incommensurability; and they also look at less-studied themes in his work, including scientific measurement, science education, and science textbooks. Drawing on the latest scholarship as well as unpublished material in the Thomas Kuhn Archives at MIT, this volume offers a comprehensive way into Kuhn's philosophy and demonstrates the continuing relevance of his ideas for our understanding of science. (shrink)

This is a reply piece to a series of book symposium contributions to my book, Resisting Scientific Realism. The contributions were by Steven French, Peter Vickers, Stathis Psillos, and Kyle Stanford.

This paper argues that the field of chemistry underwent a significant change of theory in the early twentieth century, when atomic number replaced atomic weight as the principle for ordering and identifying the chemical elements. It is a classic case of a Kuhnian revolution. In the process of addressing anomalies, chemists who were trained to see elements as defined by their atomic weight discovered that their theoretical assumptions were impediments to understanding the chemical world. The only way to normalize the (...) anomalies was to introduce new concepts, and a new conceptual understanding of what it is to be an element. In the process of making these changes, a new scientific lexicon emerged, one that took atomic number to be the defining feature of a chemical element. (shrink)

Rejectionists argue that collective belief ascriptions are best understood as instances of collective acceptance rather than belief. Margaret Gilbert objects to rejectionist accounts of collective belief statements. She argues that rejectionists rely on a questionable methodology when they inquire into the nature of collective belief ascriptions, and make an erroneous inference when they are led to believe that collectives do not really have beliefs. Consequently, Gilbert claims that collective belief statements are best understood as instances of belief. I critically examine (...) Gilbert’s criticisms of rejectionism. I argue that rejectionism is still a viable account of collective belief ascriptions. I also argue that Gilbert’s most powerful criticism provides important insight into what really stands between her and the rejectionists. Gilbert and the rejectionists do not yet agree about what background assumptions can be made in developing an account of collective belief ascriptions. (shrink)

By means of a citation analysis I aim to determine which scholarly journals are most important in the sub-field of philosophy of science. My analysis shows that the six most important journals in the sub-field are Philosophy of Science , British Journal for the Philosophy of Science , Journal of Philosophy , Synthese , Studies in History and Philosophy of Science , and Erkenntnis . Given the data presented in this study, there is little evidence that there is such a (...) field as the history and philosophy of science (HPS). Rather, philosophy of science is most properly conceived of as a sub-field of philosophy. (shrink)

Interpreting Kuhn provides a comprehensive, up-to-date study of Thomas Kuhn's philosophy and legacy. With twelve essays newly written by an international group of scholars, it covers a wide range of topics where Kuhn had an influence. Part I deals with foundational issues such as Kuhn's metaphysical assumptions, his relationship to Kant and Kantian philosophy, as well as contextual influences on his writing, including Cold War psychology and art. Part II tackles three Kuhnian concepts: normal science, incommensurability, and scientific revolutions. Part (...) III deals with the Copernican Revolution in astronomy, the theory-ladenness of observation, scientific discovery, Kuhn's evolutionary analogies, and his theoretical monism. The volume is an ideal resource for advanced students seeking an overview of Kuhn's philosophy, and for specialists following the development of Kuhn scholarship. (shrink)

This chapter discusses Kuhn’s conception of the history of science by focussing on two respects in which Kuhn is an historicist historian and philosopher of science. I identify two distinct, but related, aspects of historicism in the work of Hegel and show how these are also found in Kuhn’s work. First, Kuhn held tradition to be important for understanding scientific change and that the tradition from which a scientific idea originates must be understood in evaluating that idea. This makes Kuhn (...) a historicist in a sense we may call conservative. Secondly, Kuhn held that there is a pattern to the development of science. In the light of the fact that he held scientific change to be law-like, we can call this second aspect of Kuhn’s historicism determinist. I discuss the relationship of Kuhn’s historicist historiography to the philosophical purposes he had for his history of science, namely to refute a conception of scientific progress as driven towards increasing truth by something like ‘the scientific method’. I argue that while this determinism refutes certain positivist conceptions of scientific change, it also requires internalism—the view that the causes of scientific change come from within science, not from outside. Consequently, Kuhn’s historiography of science contrasts with that implicit in much of post-Kuhnian science studies. (shrink)

Devitt has developed an interesting defense of realism against the threats posed by the Pessimistic Induction and the Argument from Unconceived Alternatives. Devitt argues that the best explanation for the success of our current theories, and the fact that they are superior to the theories they replaced, is that they were developed and tested with the aid of better methods than the methods used to develop and test the many theories that were discarded earlier in the history of science. It (...) is no surprise that theories developed earlier in the history of science needed to be replaced. But our current theories are different, having been developed and tested with the aid of these more recently developed superior methods. I critically analyze Devitt’s defense of realism. I argue that recent developments in methodology cannot support the claims Devitt makes. I present an argument I call the “Argument from Unconceived Methods.” Given the history of science, it seems likely that scientists will continue to develop new methods in the future. And some of these methods will enable scientists to generate data that cannot be reconciled with the currently accepted theories. Consequently, it seems that our current best theories are not immune from being replaced in the future by radically different theories. (shrink)

I examine the influence of James B. Conant on the writing of Kuhn’s Structure of Scientific Revolutions. By clarifying Conant’s influence on Kuhn, I also clarify the influence that others had on Kuhn’s thinking. And by identifying the various influences that Conant had on Kuhn’s view of science, I identify Kuhn’s most original contributions in Structure. On the one hand, I argue that much of the framework and many of the concepts that figure in Structure were part of Conant’s picture (...) of science, a picture that figured prominently in the general education natural science courses that Conant taught at Harvard. On the other hand, I show that Kuhn’s Structure contains important contributions that do not figure in Conant’s picture of science. I argue that the following three themes in Structure do not originate with Conant: (1) the concept of “normal science”; (2) “the problem of scientific revolutions,” that is, the apparent threat posed by radical changes of theory in science; and (3) Kuhn’s emphasis on the social dimensions of science, specifically the social structure of research communities. (shrink)

I respond to Scerri’s recent reply to my claim that there was a scientific revolution in chemistry in the early twentieth Century. I grant, as Scerri insists, that there are significant continuities through the change about which we are arguing. That is so in all scientific revolutions. But I argue that the changes were such that they constitute a Kuhnian revolution, not in the classic sense of The Structure of Scientific Revolutions, but in the sense of Kuhn’s mature theory, developed (...) in the 1980s and early 1990s. (shrink)

Though many agree that we need to account for the role that social factors play in inquiry, developing a viable social epistemology has proved to be difficult. According to Longino, it is the processes that make inquiry possible that are aptly described as "social," for they require a number of people to sustain them. These processes, she claims, not only facilitate inquiry, but also ensure that the results of inquiry are more than mere subjective opinions, and thus deserve to be (...) called "knowledge." In this paper, I (a) explain Longino's epistemology, and (b) defend it against charges that have recently been raised by Kitcher, Schmitt, and Solomon. Longino rightly recognizes that not all social factors have the same (adverse) affect on inquiry. She also recommends that we distinguish knowledge from mere opinion by reference to a social standard. (shrink)

Realists and anti-realists disagree about whether contemporary scientists are epistemically privileged. Because the issue of epistemic privilege figures in arguments in support of and against theoretical knowledge in science, it is worth examining whether or not there is any basis for assuming such privilege. I show that arguments that try to explain the success of science by appeal to some sort of epistemic privilege have, so far, failed. They have failed to give us reason to believe (i) that scientists are (...) prone to develop theories that are true, (ii) that our current theories are not apt to be replaced in the future, and (iii) that science is nearing its completion. (shrink)

We are living today at such a pace of technological development that it is no longer enough for the businessman or the intellectual, when they consider the problems related to their specific interests, work, politics or specialization, to look just at what these problems mean in present, immediate, strictly modern terms. In fact, the very prestige of this word—modern—is in a state of crisis.

I evaluate the extent to which we could learn something about how we should be conducting collaborative research in science from the research on groupthink. I argue that Solomon has set us in the wrong direction, failing to recognize that the consensus in scientific specialties is not the result of deliberation. But the attention to the structure of problem-solving that has emerged in the groupthink research conducted by psychologists can help us see when deliberation could lead to problems for a (...) research team. I argue that whenever we need to generate alternative solutions or proposals, groupthink is a genuine threat, and research teams would be wise to allow individuals opportunities to work alone. But the benefits of team work emerge when scientists seek to evaluate the various proposals generated, and determine a course of action. Then the group is less prone is groupthink, and the interaction of group members can be an epistemic asset. (shrink)

In this paper, I draw jointly upon a Foucauldian ethical discourse and the example of the so-called ‘Manchester school’ of Foucauldian labour process theory (LPT) to question the political/ethical aspirations and effects of critical management studies. Specifically, I question the ethics and effects of LPT researchers’ relationships with those they/we research. I organize the discussion around four Foucauldian ethical themes or feelings. I thread these ethical themes throughout the paper to argue that, though Foucauldian LPT may be understood to abstractly (...) resonate with these themes, its contribution is seriously undermined through the authors’ lack of attention to ways of embodying this ethics in relations with the researched. By not embodying these commitments, the marriage between Foucault and LPT risks being read more as a marriage of convenience than commitment. And, further, a marriage that reproduces a politically problematic ‘modernist/positivist’ self–other separation or divorce between researcher and researched. (shrink)

It has often been remarked that science is a young man's game. Thomas Kuhn, for example, claims that revolutionary changes in science are almost always initiated by either young scientists or those new to a field. I subject Kuhn's hypothesis to testing. I examine 24 revolutionary scientific figures mentioned in The Structure of Scientific Revolutions to determine if young scientists are more likely to make revolutionary discoveries than older scientists. My analysis suggests that middle-aged scientists are responsible for initiating more (...) scientific revolutions than young scientists, given the proportion of each group in the total population of scientists. I argue that the popular myth about the correlation between youth and scientific discovery fails to take into account the proportion of young scientists in the population of scientists. (shrink)

I compare the epistemic culture of Wikipedia with the epistemic culture of science, with special attention to the culture of collaborative research in science. The two cultures differ markedly with respect to (1) the knowledge produced, (2) who produces the knowledge, and (3) the processes by which knowledge is produced. Wikipedia has created a community of inquirers that are governed by norms very different from those that govern scientists. Those who contribute to Wikipedia do not ground their claims on their (...) reputations as knowers, for they stand to lose nothing if and when their contributions are found to be misleading or false. And the immediacy of the medium encourages gossip and jokes. Hence, though we have some reason to believe that an invisible hand aids scientists in realizing their epistemic goals, we cannot ground our confidence in what is reported on Wikipedia on the fact that an invisible hand ensures quality. Nor is the information on Wikipedia aptly justified in a manner similar to the way testimony can be justified. (shrink)

My aim in this paper is to re-examine specialization in science. I argue that we need to acknowledge the role that conceptual changes can play in the creation of new specialties. Whereas earlier sociological accounts focus on social and instrumental changes as the cause of the creation of new specialties, I argue that conceptual changes play an important role in the creation of some scientific specialties. Specifically, I argue that conceptual developments played an important role in the creation of both (...) endocrinology and virology. (shrink)