The DOI matches its Crossref record.
Qui bono? explaining-or defending-winners and losers in the competition for educational achievement
Overview
Integrity signals
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Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Several scholars have pointed to the significant social consequences that arise when race is misconstrued as a variable that can produce causal effects.
“Several scholars have pointed to the significant social consequences that arise when race is misconstrued as a variable that can produce causal effects [3, 46, 58, 124].”
From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [3]
Without proper contextualization of results, there is a tendency to misattribute the causal mechanisms of difference to the racial categories themselves, further reifying race as a natural category.
“First, without proper contextualization of results, there is a tendency to misattribute the causal mechanisms of difference the racial categories themselves [3, 46, 124], further reifying race as a natural category.”
From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [3]
Citations
Cited by
Sorted by citations
Towards a critical race methodology in algorithmic fairness
Hanna, A., Denton, R., Smart, A., & Smith-Loud, J. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency · doi:10.1145/3351095.3372826 · Cited by 295
Metadata
- Authors
- Allen, W. R., Suh, S. A., González, G., & Yang, J.
- Venue
- White Logic, White Methods
- Published
- 2008
- Pages
- 217-238
- OpenAlex
- W4414502371
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- Type
- other
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Arts and Humanities › General Arts and Humanities › Italian Literature and Culture
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Historical Economic and Legal Thought
- Social Sciences › Arts and Humanities › History › Renaissance and Early Modern Studies
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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.
Statistics and arithmetic are recomputed, not judged.
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