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Record W4386371373 · doi:10.1257/jel.20221706

The Enduring Effects of Racial Discrimination on Income and Health

2023· article· en· W4386371373 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Economic Literature · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPensionEndogeneityDemographic economicsWhite (mutation)Race (biology)EconomicsRacial differencesLabour economicsPolitical scienceEthnic groupSociologyFinance

Abstract

fetched live from OpenAlex

We investigate the effect of income on the long-standing racial mortality gap in the United States by using evidence from White and Black Civil War veterans who went on to receive postwar pensions. To circumvent endogeneity, we propose an exogenous source of variation in pension income: the judgment of the doctors who certified disability. We find large effects of pension income on longevity; large enough to close the Black–White mortality gap, in principle. However, because physicians discriminated against Blacks when evaluating the existence and severity of disabilities, Blacks received reduced pension benefits that failed to eliminate racial mortality gaps in practice. Our findings shed light on the role of beliefs about race, as opposed to racial animus, in contributing to racial differentials in well-being. (JEL H55, I12, I14, I24, J15, N31)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.379
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it