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Record W4416420369 · doi:10.1037/cdp0000777

Peer ethnic–racial socialization’s associations with coping with discrimination.

2025· article· en· W4416420369 on OpenAlexaff
J. Nicole Little, Frances M. Lobo, N. Keita Christophe, Michele Chan, Gabriela L. Stein

Bibliographic record

VenueCultural Diversity & Ethnic Minority Psychology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsCoping (psychology)Peer reviewCoping behaviorPeer groupPsycINFO

Abstract

fetched live from OpenAlex

OBJECTIVE: Ethnic-racial socialization (ERS) plays a prominent role in how minoritized youth cope with discrimination, but there is a dearth of research on peer ERS in relation to coping. METHOD: = 104, 32.4% of broader sample) peer. RESULTS: Using path analyses, peer ERS messages were related to discrimination coping strategies, with differing associations for same-ethnic peers versus cross-ethnic peers. CONCLUSIONS: Findings highlight the relation of peer ERS and coping with discrimination, especially for same-ethnic peers. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.704
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.144
GPT teacher head0.451
Teacher spread0.307 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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