Do Theories of Implicit Race Bias Change Moral Judgments?
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To the extent that the validity of the objective measure is questionable, inferences of unawareness are based on a weak foundation, which can lead to inaccurate attitude theories and potentially harmful individual and societal consequences.
“To the extent that the validity of the objective measure seems questionable, inferences of unawareness would be based on a weak foundation, which can lead to inaccurate attitude theories (Gawronski & Bodenhausen 2015) and potentially harmful consequences at the individual and the societal level (Cameron et al. 2010, Daumeyer et al. 2019).”
From Unawareness of Attitudes, Their Environmental Causes, and Their Behavioral Effects (2025) · cites this paper as Cameron et al. 2010
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- Authors
- Cameron, C. D., Payne, B. K., & Knobe, J.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Yale University (US)
- Corresponding author
- Cameron, C. Daryl
- Venue
- Social Justice Research
- Published
- 2010-11-30
- Volume
- 23
- Issue
- 4
- Pages
- 272-289
- ISSN
- 0885-7466 (ISSN-L)
- 1573-6725
- OpenAlex
- W2046457481
- Cited by
- 52
- References
- 80
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 8 · 2023: 7 · 2022: 6 · 2021: 3 · 2020: 3 · 2019: 2 · 2018: 4 · 2017: 4 · 2016: 3 · 2015: 4 · 2014: 1 · 2013: 1 · 2012: 2
- FWCI
- 0.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Social Justice Research (publishedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- Funders
- National Science Foundation
- Johns Hopkins University
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Psychology of Moral and Emotional Judgment
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
- Keywords
- moral judgment, racial discrimination, moral responsibility, implicit bias, automaticity
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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