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Record W2124460519 · doi:10.1177/0272431608325418

The Development of Children’s Ethnic Identity in Immigrant Chinese Families in Canada

2008· article· en· W2124460519 on OpenAlexaffabout
Tina F. Su, Catherine L. Costigan

Bibliographic record

VenueThe Journal of Early Adolescence · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsEthnic groupFeelingObligationImmigrationPsychologyIdentity (music)Developmental psychologyPerceptionSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Parents’ role in children’s ethnic identity development was examined among 95 immigrant Chinese families with young adolescents living in Canada. Children reported their feelings of ethnic identity and perceptions of parental family obligation expectations. Parents reported their family obligation expectations; parents and children reported on parenting practices. Mothers’ expectations, but not fathers’, were positively associated with children’s feelings of ethnic identity. This relation was mediated by children’s perceptions of parental expectations, suggesting that children must first perceive their parents’ expectations for these expectations to influence their ethnic identity. More positive parenting practices were related to stronger feelings of ethnic identity. Mothers’ parenting practices moderated the relations between mothers’ expectations and children’s ethnic affirmation and belonging. The results suggest immigrant mothers’ family obligation expectations provide an avenue for positive family identification and ethnic culture learning opportunities that may encourage children’s ethnic identity development.

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)0.002
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 score0.043
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.030
GPT teacher head0.325
Teacher spread0.295 · 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

Citations47
Published2008
Admission routes2
Has abstractyes

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