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The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism
This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conve...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025966/ https://www.ncbi.nlm.nih.gov/pubmed/33870060 http://dx.doi.org/10.3389/frma.2020.599506 |
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author | Ohnesorge, Miguel |
author_facet | Ohnesorge, Miguel |
author_sort | Ohnesorge, Miguel |
collection | PubMed |
description | This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is insufficient for theoretical and practical reasons. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry bias does not only threaten existing conventions but may impede their empirically warranted improvement if they align with industry preferences. My empiricist account of standards of inductive risk avoids such a problem by asserting that conventional justification can be pragmatically warranted but has, in principle, only a provisional status. Methodological conventions, therefore, should not only be defended from preference-based infringements of their coordinative function but ought to be subjected to empirical criticism. |
format | Online Article Text |
id | pubmed-8025966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80259662021-04-15 The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism Ohnesorge, Miguel Front Res Metr Anal Research Metrics and Analytics This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is insufficient for theoretical and practical reasons. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry bias does not only threaten existing conventions but may impede their empirically warranted improvement if they align with industry preferences. My empiricist account of standards of inductive risk avoids such a problem by asserting that conventional justification can be pragmatically warranted but has, in principle, only a provisional status. Methodological conventions, therefore, should not only be defended from preference-based infringements of their coordinative function but ought to be subjected to empirical criticism. Frontiers Media S.A. 2020-12-14 /pmc/articles/PMC8025966/ /pubmed/33870060 http://dx.doi.org/10.3389/frma.2020.599506 Text en Copyright © 2020 Ohnesorge https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Research Metrics and Analytics Ohnesorge, Miguel The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism |
title | The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism |
title_full | The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism |
title_fullStr | The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism |
title_full_unstemmed | The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism |
title_short | The Limits of Conventional Justification: Inductive Risk and Industry Bias Beyond Conventionalism |
title_sort | limits of conventional justification: inductive risk and industry bias beyond conventionalism |
topic | Research Metrics and Analytics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025966/ https://www.ncbi.nlm.nih.gov/pubmed/33870060 http://dx.doi.org/10.3389/frma.2020.599506 |
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