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Leveraging distortions: explanation, idealization, and universality in science
Cambridge, Massachusetts: The MIT Press (2021)
Abstract
An original argument about how scientific models often times distort reality rather than accurately reflect it. And it's this distortion that often gives scientific models their epistemic power.Author's Profile
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Citations of this work
Mapping Explanatory Language in Neuroscience.Daniel Kostić & Willem Halffman - 2023 - Synthese 202 (112):1-27.
Are mathematical explanations causal explanations in disguise?A. Jha, Douglas Campbell, Clemency Montelle & Phillip L. Wilson - 2024 - Philosophy of Science 91 (4):887-905.
Linguistic Competence and New Empiricism in Philosophy and Science.Vanja Subotić - 2023 - Dissertation, University of Belgrade
References found in this work
Lange on Minimal Model Explanations: A Defense of Batterman and Rice.Travis McKenna - 2021 - Philosophy of Science 88 (4):731-741.
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