Cited by 59Names, Identity, and Discrimination ResearchLabor market dynamics and wage inequalityDiscrimination and Equality Law

Employment tests and discriminatory hiring

GUION, ROBERT M.·1966·Industrial Relations A Journal of Economy and Society

Integrity signals

Registry

Crossref · 10.1111/j.1468-232x.1966.tb00449.x

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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  • Two initial foci of fairness research were unfairness of standardized tests in higher education contexts and discrimination in employment contexts.

    “Two initial foci of fairness research were unfairness of standardized tests in higher education contexts [72,73] and discrimination in employment contexts [133].”

    From Fairness in machine learning: A survey (2024) · cites this paper as [133]

  • Discrimination in hiring decisions has been examined since the 1960s.

    “For example, discrimination in hiring decisions has been examined since the 1960s [133].”

    From Fairness in machine learning: A survey (2024) · cites this paper as [133]

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Authors
GUION, R. M.
Affiliations
Bowling Green State University (US)
Corresponding author
GUION, ROBERT M.
Venue
Industrial Relations A Journal of Economy and Society
Publisher
Wiley
Published
1966-02
Volume
5
Issue
2
Pages
20-37
ISSN
  • 0019-8676 (ISSN-L)
  • 1468-232X
OpenAlex
W2031449720
Cited by
59
References
3
Citations by year
2024: 1 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1
FWCI
15.29
Type
journal article
Language
en
Open access
closed
Locations
Industrial Relations A Journal of Economy and Society (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
  • Social Sciences › Law › Discrimination and Equality Law
Keywords
employment testing, employment discrimination, personnel selection, hiring practices

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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