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oapen-20.500.12657-503122021-08-05T02:44:00Z Chapter 15 Epistemic Gains and Epistemic Games Osimani, Barbara Uncertainty Management in Pharmacology, Causality,Medical Epistemology, evidence standards, random error, systematic error, extrapolation, relevance, bias bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology In this paper I analyse the dissent around evidence standards in medicine and pharmacology as a result of distinct ways to address epistemic losses in our game with nature and the scientific ecosystem: an “elitist” and a “pluralist” approach. The former is focused on reliability as minimisation of random and systematic error, and is grounded on a categorical approach to causal assessment, whereas the latter is more focused on the high context-sensitivity of causation in medicine and in the soft sciences in general, and favours probabilistic approaches to scientific inference, as better equipped for defeasibility of causal inference in such domains. I then present a system for probabilistic causal assessment from heterogenous evidence that makes justice of concerns from both positions, while also incorporating “higher order evidence” (evidence/information about the evidence itself) in hypothesis confirmation. 2021-08-04T10:11:41Z 2021-08-04T10:11:41Z 2020 chapter 9783030291785 https://library.oapen.org/handle/20.500.12657/50312 eng application/pdf Attribution 4.0 International Osimani_2020 Epi Games.pdf Springer Nature Uncertainty in Pharmacology 10.1007/978-3-030-29179-2_15 10.1007/978-3-030-29179-2_15 6c6992af-b843-4f46-859c-f6e9998e40d5 6dde7ba1-8654-4ccc-9249-6bef6c837290 178e65b9-dd53-4922-b85c-0aaa74fce079 9783030291785 European Research Council (ERC) 28 639276 PhilPharm H2020 European Research Council H2020 Excellent Science - European Research Council open access
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OAPEN
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English
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In this paper I analyse the dissent around evidence standards in medicine
and pharmacology as a result of distinct ways to address epistemic losses in
our game with nature and the scientific ecosystem: an “elitist” and a “pluralist”
approach. The former is focused on reliability as minimisation of random and
systematic error, and is grounded on a categorical approach to causal assessment,
whereas the latter is more focused on the high context-sensitivity of causation in
medicine and in the soft sciences in general, and favours probabilistic approaches
to scientific inference, as better equipped for defeasibility of causal inference
in such domains. I then present a system for probabilistic causal assessment
from heterogenous evidence that makes justice of concerns from both positions,
while also incorporating “higher order evidence” (evidence/information about the
evidence itself) in hypothesis confirmation.
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Osimani_2020 Epi Games.pdf
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Osimani_2020 Epi Games.pdf
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Osimani_2020 Epi Games.pdf
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Osimani_2020 Epi Games.pdf
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osimani_2020 epi games.pdf
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Springer Nature
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2021
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1771297402877116416
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