890 research outputs found

    tmfast fits topic models fast

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    tmfast is an R package for fitting topic models using a fast algorithm based on partial PCA and the varimax rotation. After providing mathematical background to the method, we present two examples, using a simulated corpus and aggregated works of a selection of authors from the long nineteenth century, and compare the quality of the fitted models to a standard topic modeling package

    The Virtues of Scientific Practice: MacIntyre, Virtue Ethics, and the Historiography of Science

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    “Practice” has become a ubiquitous term in the history of science, and yet historians have not always reflected on its philosophical import and especially on its potential connections with ethics. In this essay, we draw on the work of the virtue ethicist Alasdair MacIntyre to develop a theory of “communal practices” and explore how such an approach can inform the history of science, including allegations about the corruption of science by wealth or power; consideration of scientific ethics or “moral economies”; the role of values in science; the ethical distinctiveness (or not) of scientific vocations; and the relationship between history of science and the practice of science itself

    The Virtues of Scientific Practice: MacIntyre, Virtue Ethics, and the Historiography of Science

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    “Practice” has become a ubiquitous term in the history of science, and yet historians have not always reflected on its philosophical import and especially on its potential connections with ethics. In this essay, we draw on the work of the virtue ethicist Alasdair MacIntyre to develop a theory of “communal practices” and explore how such an approach can inform the history of science, including allegations about the corruption of science by wealth or power; consideration of scientific ethics or “moral economies”; the role of values in science; the ethical distinctiveness (or not) of scientific vocations; and the relationship between history of science and the practice of science itself

    When Virtues are Vices: 'Anti-Science' Epistemic Values in Environmental Politics

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    Since at least the mid-2000s, political commentators, environmental advocates, and scientists have raised concerns about an “anti-science” approach to environmental policymaking in conservative governments in the US and Canada. This paper explores and resolves a paradox surrounding at least some uses of the “anti-science” epithet. I examine two cases of such “anti-science” environmental policy, both of which involve appeals to epistemic values that are widely endorsed by both scientists and philosophers of science. It seems paradoxical to call an appeal to epistemic values “anti-science.” I develop an analysis that, I argue, can resolve this paradox. This analysis is a version of the “aims approach” to science and values, drawing on ideas from axiology and virtue ethics. I characterize the paradox in terms of conflicts or tensions between epistemic and pragmatic aims, and argue that there is a key asymmetry between them: epistemic aims are valuable, in part, because they are useful for pursuing pragmatic aims. Thus, when epistemic and pragmatic aims conflict, epistemic aims need to be reconceptualized in order to reconcile them to pragmatic aims. When this is done, in the “anti-science” cases, the epistemic values are scientific vices rather than virtues. Thus the “anti-science” epithet is apt

    The P value plot does not provide evidence against air pollution hazards

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    Background: A number of papers by Young and collaborators have criticized epidemiological studies and meta-analyses of air pollution hazards using a graphical method that the authors call a P value plot, claiming to find zero effects, heterogeneity, and P hacking. However, the P value plot method has not been validated in a peer-reviewed publication. The aim of this study was to investigate the statistical and evidentiary properties of this method. Methods: A simulation was developed to create studies and meta-analyses with known real effects δ, integrating two quantifiable conceptions of evidence from the philosophy of science literature. The simulation and analysis is publicly available and automatically reproduced. Results: In this simulation, the plot did not provide evidence for heterogeneity or P hacking with respect to any condition. Under the right conditions, the plot can provide evidence of zero effects; but these conditions are not satisfied in any actual use by Young and collaborators. Conclusion: The P value plot does not provide evidence to support the skeptical claims about air pollution hazards made by Young and collaborators

    Open science, the replication crisis, and environmental public health

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    Concerns about a crisis of mass irreplicability across scientific fields (“the replication crisis”) have stimulated a movement for open science, encouraging or even requiring researchers to publish their raw data and analysis code. Recently, a rule at the US Environmental Protection Agency (US EPA) would have imposed a strong open data requirement. The rule prompted significant public discussion about whether open science practices are appropriate for fields of environmental public health. The aims of this paper are to assess (1) whether the replication crisis extends to fields of environmental public health; and (2) in general whether open science requirements can address the replication crisis. There is little empirical evidence for or against mass irreplicability in environmental public health specifically. Without such evidence, strong claims about whether the replication crisis extends to environmental public health – or not – seem premature. By distinguishing three concepts – reproducibility, replicability, and robustness – it is clear that open data initiatives can promote reproducibility and robustness but do little to promote replicability. I conclude by reviewing some of the other benefits of open science, and offer some suggestions for funding streams to mitigate the costs of adoption of open science practices in environmental public health

    Genetically Modified Crops, Inclusion, and Democracy

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    Challenges for ‘Community’ in Science and Values: Cases from Robotics Research

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    Philosophers of science often make reference — whether tacitly or explicitly — to the notion of a scientific community. Sometimes, such references are useful to make our object of analysis tractable in the philosophy of science. For others, tracking or understanding particular features of the development of science proves to be tied to notions of a scientific community either as a target of theoretical or social intervention. We argue that the structure of contemporary scientific research poses two unappreciated, or at least underappreciated, challenges to this concept of the “scientific community” in the philosophy of science. In particular, we will present two case studies from robotics research, broadly construed, which show that (1) the boundedness of the scientific community is threatened when private citizens can develop scientific and technological advances at minimal expense (democratization), and (2) the discreteness of scientific research programs is threatened by the complexly interrelated environment of contemporary scientific work (interconnectivity). Taken together, the extent of democratization and interconnectivity present a significant challenge for any practically oriented philosophy of science, one which we hope will be taken on directly by philosophers in the future

    Challenges for ‘Community’ in Science and Values: Cases from Robotics Research

    Get PDF
    Philosophers of science often make reference — whether tacitly or explicitly — to the notion of a scientific community. Sometimes, such references are useful to make our object of analysis tractable in the philosophy of science. For others, tracking or understanding particular features of the development of science proves to be tied to notions of a scientific community either as a target of theoretical or social intervention. We argue that the structure of contemporary scientific research poses two unappreciated, or at least underappreciated, challenges to this concept of the “scientific community” in the philosophy of science. In particular, we will present two case studies from robotics research, broadly construed, which show that (1) the boundedness of the scientific community is threatened when private citizens can develop scientific and technological advances at minimal expense (democratization), and (2) the discreteness of scientific research programs is threatened by the complexly interrelated environment of contemporary scientific work (interconnectivity). Taken together, the extent of democratization and interconnectivity present a significant challenge for any practically oriented philosophy of science, one which we hope will be taken on directly by philosophers in the future
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