Differences entre les groupes dans les niveaux de scolarite des enfants d'immigrants
Bibliographic record
Abstract
A partir de l'Enquete sur la diversite ethnique de 2002, le present article examine les differences de groupe selon l'origine nationale en ce qui a trait au niveau de scolarite universitaire chez les enfants d'immigrants au Canada. Nous avons determine que les enfants de parents immigrants de la plupart des groupes de regions d'origine affichent des taux de diplomation universitaire plus eleves que les enfants de parents nes au Canada, partiellement en raison du niveau de scolarite plus eleve de leurs parents. Les enfants des immigrants de la Chine et de l'Inde atteignent notamment des niveaux de scolarite plus eleves que les enfants de parents nes au Canada. Le niveau de scolarite des parents est egalement important pour expliquer les taux relativement faibles de diplomation universitaire chez les Portugais.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".