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Record W2846063209 · doi:10.1177/2167696818785099

Race Matters for Black Canadians: The Intersection of Acculturation and Racial Identity in Emerging Adulthood

2018· article· en· W2846063209 on OpenAlexaffabout
Abunya Cecilia Medina, Stephanie J. Rowley, Shelagh Towson

Bibliographic record

VenueEmerging Adulthood · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsUniversity of Windsor
FundersTowson University
KeywordsAcculturationMainstreamLife satisfactionRace (biology)PsychologySocial psychologyImmigrationEthnic groupIdentity (music)White (mutation)Racial formation theoryGender studiesSociologyPolitical scienceAnthropologyAesthetics

Abstract

fetched live from OpenAlex

Drawing mainly from psychological theories, the present study examines the potential indirect effect of cultural orientation on life satisfaction in a sample of first- and second-generation Black Caribbean and African emerging adults ( M age = 21.18, SD = 3.53) in Canada. Participants ( N = 187) reported their mainstream White culture orientation, heritage culture orientation, and mainstream Black culture orientation, in addition to racial public regard and life satisfaction. Consistent with the hypotheses, the results indicated that racial public regard drives the relation between White culture orientation and life satisfaction, but not the relation between heritage culture orientation and life satisfaction. These findings suggest that, for Black Canadian immigrants, both heritage culture and racial group memberships are significant; the latter connects their orientation toward White culture with life satisfaction.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.372
Teacher spread0.348 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2018
Admission routes2
Has abstractyes

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