ACADEMIC ACHIEVEMENT OF ADOLESCENTS FROM SELECTED ETHNOCULTURAL GROUPS IN CANADA: A STUDY CONSISTENT WITH JOHN OGBU'S THEORY
Bibliographic record
Abstract
ABSTRACT. This paper analyses the academic achievement of adolescents in selected ethnocultural groups in Canada. Specifically, the article, a part of a larger study, is an analysis of the academic performance of adolescents from the Caribbean, Chinese, East European, Latin American, South Asian and Canadian groups. In the larger study 1,954 students were surveyed and 131 were interviewed in schools in Toronto and Vancouver. The findings in the article, consistent with John Ogbu's theory, indicate that the majority of the students who belong to voluntary, as opposed to involuntary, minority ethnocultural groups excel in academic performance despite language barriers and racial discrimination. Few studies have been conducted on the academic achievement of selected ethnocultural adolescents. Therefore the purpose of this study was to (1) determine the academic achievement of selected ethnocultural adolescents and (2) demonstrate consistency with John Ogbu's cultural-ecological theory of voluntary minority groups in the Canadian context. RÉSUMÉ. Cet article analyse les résultats scolaires d'adolescents appartenant à des groupes ethnoculturels choisis au Canada. En particulier, l'article, qui s'inscrit dans une étude plus vaste, analyse les résultats scolaires des adolescents appartenant à des groupes d'origine antillaise, chinoise, d'Europe de l'Est, d'Amérique latine, d'Asie du Sud et du Canada. Dans l'étude plus vaste, 1 954 élèves ont été étudiés et 131 ont été interrogés dans des écoles situées à Toronto et Vancouver. Les résultats de l'article, qui concordent avec la théorie de John Ogbu, révèlent que la majorité des élèves qui appartiennent à des groupes parmi les minorités ethnoculturels, volontaires plutôt qu'involontaires obtiennent d'excellents résultats scolaires malgré les d'obstacles linguistiques et la discrimination raciale. Peu d'études ont été menées sur les résultats scolaires d'adolescents appartenant à des groupes ethnoculturels choisis.2 C'est pourquoi le but de cette étude était (1) de déterminer les résultats scolaires d'adolescents appartenant à des groupes ethnoculturels donnés et (2) de corroborer la théorie culturelle-écologique de John Ogbu sur les groupes minoritaires volontaires dans le contexte canadien.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".