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Science,politics and regulation: The trust-based approach to the demarcation problem
Authors:Stephen John
Affiliation:Department of History and Philosophy of Science, University of Cambridge, Cambridge, CB2 3RH, UK;Boston University Department of Philosophy, 745 Commonwealth Ave, Boston 02215, Massachusetts, USA;University of Sydney, Australia;Department of Philosophy, University of South Florida, FAO 226, 4202 E. Fowler Avenue, Tampa, FL, 33620, USA;University of Melbourne, Australia;Université Clermont Auvergne, PHIER, F-63000 Clermont-Ferrand, France;Department of Systems Management and Strategy, Faculty of Business, University of Greenwich, Old Royal Naval College, Park Row, London, SE10 9LS, UK
Abstract:Drawing on literature on values in science and a case-study of UK cancer policy, this paper argues for a novel account of the demarcation project in terms of trustworthiness. The first part of the paper addresses the relationship between science, politics and demarcation. In 2010, the UK government decided to pay more for cancer drugs than for drugs for other diseases; in 2016, this Cancer Drugs Fund was reformed so as to lower the evidential standards for approving cancer drugs, rather than paying more for them. Are these two ways of treating cancer as “special” importantly different? This paper argues that, if we the argument from inductive risk seriously, they seem equivalent. This result provides further reason to doubt the notion of demarcating science from non-science. However, the second part of the paper complicates this story, arguing that considerations of epistemic trust might give us reasons to prefer epistemic communities centred around “broadly acceptable” standards, and which are “sociologically well-ordered”, regardless of inductive risk concerns. After developing these claims through the cancer case-study, the final section suggests how these concerns might motivate novel versions of the demarcation project.
Keywords:Inductive risk  Demarcation criterion  Evidence based medicine  Cancer drugs  Fund  Epistemic trust  Non-epistemic values in science
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