Osimani_2020 Epi Games.pdf

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 o...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: Springer Nature 2021
id oapen-20.500.12657-50312
record_format dspace
spelling 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
institution OAPEN
collection DSpace
language English
description 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.
title Osimani_2020 Epi Games.pdf
spellingShingle Osimani_2020 Epi Games.pdf
title_short Osimani_2020 Epi Games.pdf
title_full Osimani_2020 Epi Games.pdf
title_fullStr Osimani_2020 Epi Games.pdf
title_full_unstemmed Osimani_2020 Epi Games.pdf
title_sort osimani_2020 epi games.pdf
publisher Springer Nature
publishDate 2021
_version_ 1771297402877116416