The Adaptation Experiences of Hong Kong and Caribbean Adolescent Immigrants in Canada: A Multivariate Analysis
Bibliographic record
Abstract
This article explores the adaptation experiences of minority adolescent immigrants in Canada.A total of 368 Hong Kong and 63 Caribbean immigrant students attending 28 different high schools under the jurisdiction of 6 school boards in Toronto took part in a self-administered questionnaire survey.The findings demonstrated substantial differences in adaptation experiences among the two groups.Results of the multiple ordinary least-squares regression analysis indicated that political reasons for emigration, economic reasons for emigration, presence of a parent in Canada, prior experience in Canada, experience in making friends with Canadians, and ethnic background were found to be significantly related adaptation.More specifically, respondents who stressed the importance of political or economic reasons for emigration, visited Canada as a tourist or studied in Canada on student authorization prior to emigration, expressed more favourable experience in making friends with Canadians, reported having at least one parent residing in Canada, and emigrated from the Caribbean were found to demonstrate a more positive overall adaptation experience.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".