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Record W1999683881 · doi:10.1177/0165025409337546

Social and psychological adjustment of Chinese Canadian children

2010· article· en· W1999683881 on OpenAlexaffabout
Xinyin Chen, Hennis Chi‐Hang Tse

Bibliographic record

VenueInternational Journal of Behavioral Development · 2010
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsWestern University
Fundersnot available
KeywordsLonelinessPsychologyAcculturationDevelopmental psychologySocial competencePeer acceptanceImmigrationChinese americansCompetence (human resources)Social changePeer groupSocial psychology

Abstract

fetched live from OpenAlex

This study examined social and psychological adjustment of immigrant and Canadian-born Chinese children in Canada. Participants included a sample of elementary school children (N = 356, M age = 11 years). Data on social functioning, peer relationships, school-related social competence, perceived self-worth, and loneliness were collected from peer assessments, teacher ratings, and self-reports. The results indicated that immigrant and Canadian-born Chinese children had different experiences of social and psychological adjustment in the school. Among aspects of acculturation, English proficiency and participation in Chinese cultural activities were positively associated with social competence and negatively associated with adjustment problems, particularly in immigrant Chinese children. These results indicate the involvement of contextual factors in children’s social functioning and psychological well-being.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.032
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.099
GPT teacher head0.431
Teacher spread0.332 · 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

Citations75
Published2010
Admission routes2
Has abstractyes

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