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References in:
Bias as an epistemic notion
Studies in History and Philosophy of Science Part A 91 (C):307-315 (2022)
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Although epistemic values have become widely accepted as part of scientific reasoning, non-epistemic values have been largely relegated to the "external" parts of science (the selection of hypotheses, restrictions on methodologies, and the use of scientific technologies). I argue that because of inductive risk, or the risk of error, non-epistemic values are required in science wherever non-epistemic consequences of error should be considered. I use examples from dioxin studies to illustrate how non-epistemic consequences of error can and should be considered (...) |
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The growing commercialization of scientific research has raised important concerns about industry bias. According to some evidence, so-called industry bias can affect the integrity of the science as well as the direction of the research agenda. I argue that conceptualizing industry’s influence in scientific research in terms of bias is unhelpful. Insofar as industry sponsorship negatively affects the integrity of the research, it does so through biasing mechanisms that can affect any research independently of the source of funding. Talk about (...) |
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The standard philosophical definition of placebos offered by Grünbaum is incompatible with Cartwright’s conception of randomized clinical trials. I offer a modified account of placebos that respects this role and clarifies why many current medical trials fail to warrant the conclusions they are typically seen as yielding. I then consider recent changes to guidelines for reporting medical trials and show that pessimism over parsing out the cause of “unblinding” is premature. Specifically, using a trial of antidepressants, I show how more (...) |
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Epistemic trust is crucial for science. This article aims to identify the kinds of assumptions that are involved in epistemic trust as it is required for the successful operation of science as a collective epistemic enterprise. The relevant kind of reliance should involve working from the assumption that the epistemic endeavors of others are appropriately geared towards the truth, but the exact content of this assumption is more difficult to analyze than it might appear. The root of the problem is (...) |
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An astonishing volume and diversity of evidence is available for many hypotheses in the biomedical and social sciences. Some of this evidence—usually from randomized controlled trials (RCTs)—is amalgamated by meta-analysis. Despite the ongoing debate regarding whether or not RCTs are the ‘gold-standard’ of evidence, it is usually meta-analysis which is considered the best source of evidence: meta-analysis is thought by many to be the platinum standard of evidence. However, I argue that meta-analysis falls far short of that standard. Different meta-analyses (...) |
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The question of the relationship of the making of value judgments in a typically ethical sense to the methods and procedures of science has been discussed in the literature at least to that point which e. e. cummings somewhere refers to as “The Mystical Moment of Dullness.” Nevertheless, albeit with some trepidation, I feel that something more may fruitfully be said on the subject. |
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Two major reasons feminists are concerned with science relate to science's social effects: that science can be a powerful ally in the struggle for equality for women; and that all too frequently science has been a generator and perpetuator of inequality. This concern with the social effects of science leads feminists to a different mode of appraising science from the purely epistemic one prized by most contemporary philosophers of science. The upshot, I suggest, is a new program for philosophy of (...) |
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The article presents the advantages and limitations of adaptive clinical trials for assessing the effectiveness of medical interventions and specifies the conditions that contributed to their development and implementation in clinical practice. I advance two arguments by discussing different cases of adaptive trials. The normative argument is that responsible adaptation should be taken seriously as a new way of doing clinical research insofar as a valid justification, sufficient understanding, and adequate operational conditions are provided. The second argument is historical. The (...) |
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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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Feminist critiques of science provide fertile ground for any investigation of the ways in which social influences may shape the content of science. Many authors working in this field are from the natural and social sciences; others are philosophers. For philosophers of science, recent work on sexist and androcentric bias in science raises hard questions about the extent to which reigning accounts of scientific rationality can deal successfully with mounting evidence that gender ideology has had deep and extensive effects on (...) |
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Helen Longino's account of objectivity has been highly regarded by both feminist and mainstream philosophers of science. However, I have encountered three feminist philosophers who have all offered one especially compelling feminist critique of Longino's view: far from vindicating or privileging the work of feminist scientists, Longino's account actually requires the active cultivation of anti-feminist and misogynist scientists to balance out the possibility of feminist bias. I call this objection the Nazi problem, for the particular version that claims that her (...) |
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Biased research occurs frequently in the sciences. In this paper, I will focus on one particular kind of biased research: research that is subject to sponsorship bias. I will address the following epistemological question: what precisely is epistemically wrong with biased research of this kind? I will defend the evidential account of epistemic wrongness: that is, research affected by sponsorship bias is epistemically wrong if and only if the researchers in question make false claims about the evidential support of some (...) |
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Arguments that medical decision making should rely on a variety of evidence often begin from the claim that meta-analysis has been shown to be problematic. In this paper, I first examine Stegenga’s argument that meta-analysis requires multiple decisions and thus fails to provide an objective ground for medical decision making. Next, I examine three arguments from social epistemologists that contend that meta-analyses are systematically biased in ways not appreciated by standard epistemology. In most cases I show that critiques of meta-analysis (...) |
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The purpose of this paper is to uncover some of the limitations that critical contextual empiricism, and in particular Longino's contextualism, faces when trying to provide a normative account of scientific knowledge that is relevant to current scientific research. After presenting the four norms of effective criticism, I show how the norms have limited scope when dealing with cases of current scientific practices. I then present some historical evidence for the claim that the organization of science has changed in recent (...) |
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The whole drug industry campaign for mood drugs in the 1950s was to broaden to absurd limits the definition of illness.... If the facts in these ads were not untruths, then their implications often were.1Sponsorship bias occurs when a funder of scientific research has a vested interest in what claims the research supports, which consequently shapes the research or the reporting of its results to align with that interest. This article examines the relationship between sponsorship bias and misleading claims, understood (...) |
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When interests and preferences of researchers or their sponsors cause bias in experimental design, data interpretation or dissemination of research results, we normally think of it as an epistemic shortcoming. But as a result of the debate on science and values, the idea that all extra-scientific influences on research could be singled out and separated from pure science is now widely believed to be an illusion. I argue that nonetheless, there are cases in which research is rightfully regarded as epistemologically (...) |
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