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  1. Knowledge attribution, socioeconomic status, and education: new results using the Great British Class Survey.Boudewijn de Bruin - 2021 - Synthese 199 (3-4):7615-7657.
    This paper presents new evidence on the impact of socioeconomic status and education on knowledge attribution. I examine a variety of cases, including vignettes where agents have been Gettiered, have false beliefs, and possess knowledge. Early work investigated whether SES might be associated with knowledge attribution :429–460, 2001; Seyedsayamdost in Episteme 12:95–116, 2014). But these studies used college education as a dummy variable for SES. I use the recently developed Great British Class Survey :219–250, 2013) to measure SES. The paper (...)
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  • Eight journals over eight decades: a computational topic-modeling approach to contemporary philosophy of science.Christophe Malaterre, Francis Lareau, Davide Pulizzotto & Jonathan St-Onge - 2020 - Synthese 199 (1-2):2883-2923.
    As a discipline of its own, the philosophy of science can be traced back to the founding of its academic journals, some of which go back to the first half of the twentieth century. While the discipline has been the object of many historical studies, notably focusing on specific schools or major figures of the field, little work has focused on the journals themselves. Here, we investigate contemporary philosophy of science by means of computational text-mining approaches: we apply topic-modeling algorithms (...)
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  • P-curving x-phi: Does experimental philosophy have evidential value?Michael T. Stuart, David Colaço & Edouard Machery - 2019 - Analysis 79 (4):669-684.
    In this article, we analyse the evidential value of the corpus of experimental philosophy. While experimental philosophers claim that their studies provide insight into philosophical problems, some philosophers and psychologists have expressed concerns that the findings from these studies lack evidential value. Barriers to evidential value include selection bias and p-hacking. To find out whether the significant findings in x-phi papers result from selection bias or p-hacking, we applied a p-curve analysis to a corpus of 365 x-phi chapters and articles. (...)
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  • The objectivity of Subjective Bayesianism.Jan Sprenger - 2018 - European Journal for Philosophy of Science 8 (3):539-558.
    Subjective Bayesianism is a major school of uncertain reasoning and statistical inference. It is often criticized for a lack of objectivity: it opens the door to the influence of values and biases, evidence judgments can vary substantially between scientists, it is not suited for informing policy decisions. My paper rebuts these concerns by connecting the debates on scientific objectivity and statistical method. First, I show that the above concerns arise equally for standard frequentist inference with null hypothesis significance tests. Second, (...)
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  • Novelty versus Replicability: Virtues and Vices in the Reward System of Science.Felipe Romero - 2017 - Philosophy of Science 84 (5):1031-1043.
    The reward system of science is the priority rule. The first scientist making a new discovery is rewarded with prestige, while second runners get little or nothing. Michael Strevens, following Philip Kitcher, defends this reward system, arguing that it incentivizes an efficient division of cognitive labor. I argue that this assessment depends on strong implicit assumptions about the replicability of findings. I question these assumptions on the basis of metascientific evidence and argue that the priority rule systematically discourages replication. My (...)
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  • Folk intuitions about the causal theory of perception.Pendaran Roberts, Keith Allen & Kelly Ann Schmidtke - 2016 - Ergo: An Open Access Journal of Philosophy.
    It is widely held by philosophers not only that there is a causal condition on perception but also that the causal condition is a conceptual truth about perception. One influential line of argument for this claim is based on intuitive responses to a style of thought experiment popularized by Grice. Given the significance of these thought experiments to the literature, it is important to see whether the folk in fact respond to these cases in the way that philosophers assume they (...)
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  • Do men and women have different philosophical intuitions? Further data.Toni Adleberg, Morgan Thompson & Eddy Nahmias - 2015 - Philosophical Psychology 28 (5):615-641.
    To address the underrepresentation of women in philosophy effectively, we must understand the causes of the early loss of women. In this paper we challenge one of the few explanations that has focused on why women might leave philosophy at early stages. Wesley Buckwalter and Stephen Stich offer some evidence that women have different intuitions than men about philosophical thought experiments. We present some concerns about their evidence and we discuss our own study, in which we attempted to replicate their (...)
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  • Demoralizing causation.David Danks, David Rose & Edouard Machery - 2013 - Philosophical Studies (2):1-27.
    There have recently been a number of strong claims that normative considerations, broadly construed, influence many philosophically important folk concepts and perhaps are even a constitutive component of various cognitive processes. Many such claims have been made about the influence of such factors on our folk notion of causation. In this paper, we argue that the strong claims found in the recent literature on causal cognition are overstated, as they are based on one narrow type of data about a particular (...)
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  • Folk Mereology is Teleological.David Rose & Jonathan Schaffer - 2017 - Noûs 51 (2):238-270.
    When do the folk think that mereological composition occurs? Many metaphysicians have wanted a view of composition that fits with folk intuitions, and yet there has been little agreement about what the folk intuit. We aim to put the tools of experimental philosophy to constructive use. Our studies suggest that folk mereology is teleological: people tend to intuit that composition occurs when the result serves a purpose. We thus conclude that metaphysicians should dismiss folk intuitions, as tied into a benighted (...)
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  • Philosophy of science and the replicability crisis.Felipe Romero - 2019 - Philosophy Compass 14 (11):e12633.
    Replicability is widely taken to ground the epistemic authority of science. However, in recent years, important published findings in the social, behavioral, and biomedical sciences have failed to replicate, suggesting that these fields are facing a “replicability crisis.” For philosophers, the crisis should not be taken as bad news but as an opportunity to do work on several fronts, including conceptual analysis, history and philosophy of science, research ethics, and social epistemology. This article introduces philosophers to these discussions. First, I (...)
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  • Can the Behavioral Sciences Self-correct? A Social Epistemic Study.Felipe Romero - 2016 - Studies in History and Philosophy of Science Part A 60 (C):55-69.
    Advocates of the self-corrective thesis argue that scientific method will refute false theories and find closer approximations to the truth in the long run. I discuss a contemporary interpretation of this thesis in terms of frequentist statistics in the context of the behavioral sciences. First, I identify experimental replications and systematic aggregation of evidence (meta-analysis) as the self-corrective mechanism. Then, I present a computer simulation study of scientific communities that implement this mechanism to argue that frequentist statistics may converge upon (...)
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  • Statistical Power and P-values: An Epistemic Interpretation Without Power Approach Paradoxes.Guillaume Rochefort-Maranda - unknown
    It has been claimed that if statistical power and p-values are both used to measure the strength of our evidence for the null-hypothesis when the results of our tests are not significant, then they can also be used to derive inconsistent epistemic judgements as we compare two different experiments. Those problematic derivations are known as power approach paradoxes. The consensus is that we can avoid them if we abandon the idea that statistical power can measure the strength of our evidence. (...)
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