Home > Research > Publications & Outputs > Adjusting Inferential Thresholds to Reflect Non...

Research

Associated organisational units

Electronic data

Links

Text available via DOI:

Keywords

View graph of relations

Adjusting Inferential Thresholds to Reflect Nonepistemic Values

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Adjusting Inferential Thresholds to Reflect Nonepistemic Values. / Kaivanto, Kim Kaleva; Steel, Daniel .
In: Philosophy of Science, Vol. 86, No. 2, 01.04.2019, p. 255-285.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Kaivanto, KK & Steel, D 2019, 'Adjusting Inferential Thresholds to Reflect Nonepistemic Values', Philosophy of Science, vol. 86, no. 2, pp. 255-285. https://doi.org/10.1086/702027

APA

Kaivanto, K. K., & Steel, D. (2019). Adjusting Inferential Thresholds to Reflect Nonepistemic Values. Philosophy of Science, 86(2), 255-285. https://doi.org/10.1086/702027

Vancouver

Kaivanto KK, Steel D. Adjusting Inferential Thresholds to Reflect Nonepistemic Values. Philosophy of Science. 2019 Apr 1;86(2):255-285. doi: 10.1086/702027

Author

Kaivanto, Kim Kaleva ; Steel, Daniel . / Adjusting Inferential Thresholds to Reflect Nonepistemic Values. In: Philosophy of Science. 2019 ; Vol. 86, No. 2. pp. 255-285.

Bibtex

@article{0de9a8dc86284741accc9d007a12d5de,
title = "Adjusting Inferential Thresholds to Reflect Nonepistemic Values",
abstract = "Many philosophers have challenged the ideal of value-free science on the grounds that social or moral values are relevant to inferential thresholds. But given this view, how precisely and to what extent should scientists adjust their inferential thresholds in light of nonepistemic values? We suggest that signal detection theory provides a useful framework for addressing this question. Moreover, this approach opens up further avenues for philosophical inquiry and has important implications for philosophical debates concerning inductive risk. For example, the signal detection theory framework entails that considerations of inductive risk and inferential-threshold placement cannot be conducted in isolation from base-rate information.",
keywords = "inductive risk, non-epistemic values, inferential thresholds, statistical decision functions, signal detection theory",
author = "Kaivanto, {Kim Kaleva} and Daniel Steel",
note = "Copyright 2019 by the Philosophy of Science Association. All rights reserved.",
year = "2019",
month = apr,
day = "1",
doi = "10.1086/702027",
language = "English",
volume = "86",
pages = "255--285",
journal = "Philosophy of Science",
issn = "0031-8248",
publisher = "University of Chicago Press",
number = "2",

}

RIS

TY - JOUR

T1 - Adjusting Inferential Thresholds to Reflect Nonepistemic Values

AU - Kaivanto, Kim Kaleva

AU - Steel, Daniel

N1 - Copyright 2019 by the Philosophy of Science Association. All rights reserved.

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Many philosophers have challenged the ideal of value-free science on the grounds that social or moral values are relevant to inferential thresholds. But given this view, how precisely and to what extent should scientists adjust their inferential thresholds in light of nonepistemic values? We suggest that signal detection theory provides a useful framework for addressing this question. Moreover, this approach opens up further avenues for philosophical inquiry and has important implications for philosophical debates concerning inductive risk. For example, the signal detection theory framework entails that considerations of inductive risk and inferential-threshold placement cannot be conducted in isolation from base-rate information.

AB - Many philosophers have challenged the ideal of value-free science on the grounds that social or moral values are relevant to inferential thresholds. But given this view, how precisely and to what extent should scientists adjust their inferential thresholds in light of nonepistemic values? We suggest that signal detection theory provides a useful framework for addressing this question. Moreover, this approach opens up further avenues for philosophical inquiry and has important implications for philosophical debates concerning inductive risk. For example, the signal detection theory framework entails that considerations of inductive risk and inferential-threshold placement cannot be conducted in isolation from base-rate information.

KW - inductive risk

KW - non-epistemic values

KW - inferential thresholds

KW - statistical decision functions

KW - signal detection theory

U2 - 10.1086/702027

DO - 10.1086/702027

M3 - Journal article

VL - 86

SP - 255

EP - 285

JO - Philosophy of Science

JF - Philosophy of Science

SN - 0031-8248

IS - 2

ER -