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Record W4392169378 · doi:10.1037/cdp0000656

It’s how I was raised: How ethnic–racial socialization patternsinfluence antiracism actions in minoritized emerging adults.

2024· article· en· W4392169378 on OpenAlexaff
Bridget L. Cheeks, N. Keita Christophe, Puja Patel, Valerie V. Salcido, Gabriela L. Stein

Bibliographic record

VenueCultural Diversity & Ethnic Minority Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsSocializationEthnic groupPsychologyAction (physics)Social psychologyRacismDevelopmental psychologyGender studiesSociology

Abstract

fetched live from OpenAlex

OBJECTIVES: Research highlights the benefits of critical action on individual and community well-being; however, more needs to be understood about the ways ethnic-racial socialization (ERS) influences emerging adults' participation in antiracism actions. METHOD: = 1.23; female = 81.8%), and their associations with the emerging adults' demographic characteristics and three forms of antiracism actions. RESULTS: A latent profile analysis revealed a five-profile solution and showed variability in patterns of parental cultural socialization and preparation for bias messages. Participants in profiles reflecting far higher than average frequencies of both messages (high frequency) and those who received mean preparation for bias and above-average cultural socialization (culturally focused) tended to engage most frequently across all forms of antiracism. CONCLUSIONS: Our findings suggest the importance of parental ERS messages for fostering engagement in antiracism actions among diverse college students. Results are informative for those who work with minoritized emerging adults navigating racist contexts. (PsycInfo Database Record (c) 2025 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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.196
GPT teacher head0.461
Teacher spread0.265 · 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 designQualitative
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

Citations3
Published2024
Admission routes1
Has abstractyes

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