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Identifying future-proof science

Oxford: Oxford University Press (2023)

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  1. How can we assess whether to trust collectives of scientists?Elinor Clark - forthcoming - British Journal for the Philosophy of Science.
    A great many important decisions we make in life depend on scientific information that we are not in a position to assess. So it seems we must defer to experts. By now there are a variety of criteria on offer by which non-experts can judge the trustworthiness of a scientist responsible for producing or promulgating this information. But science is, for the most part, a collective not an individual enterprise. This paper explores which of the criteria for judging the trustworthiness (...)
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  • The Difference-to-Inference Model for Values in Science.Jacob Stegenga & Tarun Menon - 2023 - Res Philosophica 100 (4):423-447.
    The value-free ideal for science holds that values should not influence the core features of scientific reasoning. We defend the difference-to-inference model of value-permeation, which holds that value-permeation in science is problematic when values make a difference to the inferences made about a hypothesis. This view of value-permeation is superior to existing views, and it suggests a corresponding maxim—namely, that scientists should strive to eliminate differences to inference. This maxim is the basis of a novel value-free ideal for science. -/- (...)
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  • Disagreement and Consensus in Science.Finnur Dellsén - forthcoming - In Maria Baghramian, J. Adam Carter & Rach Cosker-Rowland (eds.), Routledge Handbook of Philosophy of Disagreement. Routledge.
    Consensus and disagreement play important roles in the practice, development, and dissemination of science. This raises a host of important philosophical questions. Some of these issues are conceptual: When, exactly, does a scientific agreement count as a consensus? And in what sense, if any, is disagreement the opposite of consensus? Other questions concern the role of consensus and disagreement in the development of science: For example, is consensus on central methodological issues and assumptions necessary for scientific work to proceed normally? (...)
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