MétaCan
Menu
Back to cohort

Predictors of Acculturation for Chinese Adolescents in Canada: Age of Arrival, Length of Stay, Social Class, and English Reading Ability

2004· article· es· W2069120344 on OpenAlexaffabout
Ben C. H. Kuo, Gargi Roysircar

Bibliographic record

VenueJournal of Multicultural Counseling and Development · 2004
Typearticle
Languagees
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAcculturationSocioeconomic statusPsychologyReading (process)CohortEthnic groupDemographyHumanitiesSociologyMedicineArtPolitical scienceAnthropologyPopulation

Abstract

fetched live from OpenAlex

In a sample of 506 Chinese adolescents living in Canada from 3 cohort groups, age at the time of arrival in Canada, length of stay in Canada, socioeconomic status, and English reading ability predicted acculturation. English reading ability and socioeconomic status predicted acculturative stress. There were within‐group cohort differences in acculturation characteristics. Implications for counseling are addressed. En una muestra de 506 adolescentes Chinos que viven en el Canadá de 3 cohortes, la edad de llegada a Canadá, el tiempo que vivieron en Canada, la posición socioeconómica, y la habilidad de leer Inglés predice la asimilación. La habilidad de leer Inglés y la posición socioeconómica que pronostico el estrés de asimilación. Estaban entre grupos de cohorte diferentes en características de asimilación. Las implicaciones para terapia se dirigen.

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 score0.132
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.314
Teacher spread0.290 · 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

Citations200
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Multicultural Counseling and DevelopmentSame topicRacial and Ethnic Identity ResearchFrench-language works237,207