David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Synthese 182 (3):475-492 (2011)
While epistemic justification is a central concern for both contemporary epistemology and philosophy of science, debates in contemporary epistemology about the nature of epistemic justification have not been discussed extensively by philosophers of science. As a step toward a coherent account of scientific justification that is informed by, and sheds light on, justificatory practices in the sciences, this paper examines one of these debates—the internalist-externalist debate—from the perspective of objective accounts of scientific evidence. In particular, we focus on Deborah Mayo’s error-statistical theory of evidence because it is a paradigmatically objective theory of evidence that is strongly informed by methodological practice. We contend that from the standpoint of such an objective theory of evidence, justification in science has both externalist and internalist characteristics. In reaching this conclusion, however, we find that the terms of the contemporary debate between internalists and externalists have to be redefined to be applicable to scientific contexts
|Keywords||Evidence Justification Internalism Externalism Error-statistics Security|
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References found in this work BETA
Philip Kitcher (1993). The Advancement of Science: Science Without Legend, Objectivity Without Illusions. Oxford University Press.
Alvin I. Goldman (1986). Epistemology and Cognition. Harvard University Press.
Helen Longino (2002). The Fate of Knowledge. Princeton University Press.
Alvin I. Goldman (1999). Knowledge in a Social World. Oxford University Press.
Richard A. Fumerton (1995). Metaepistemology and Skepticism. Rowman & Littlefield.
Citations of this work BETA
Kent Staley (2012). Strategies for Securing Evidence Through Model Criticism. European Journal for Philosophy of Science 2 (1):21-43.
Kent W. Staley (2012). Dirac's “Fine-Tuning Problem”: A Constructive Use of Anachronism? Perspectives on Science 20 (4):476-503.
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