L’influence du capital social sur la formation du capital humain chez les élèves résilients de milieux socioéconomiques défavorisés
Bibliographic record
Abstract
Cette étude examine l’influence du capital social de l’école et de la famille sur la formation du capital humain chez les jeunes en examinant comment ce capital social permet aux élèves issus des milieux socioéconomiques défavorisés de surmonter les difficultés inhérentes à leur origine. Les données de l’enquête PISA 2000, réalisée auprès des jeunes Canadiens, montrent qu’il existe une association significative entre le capital social de l’école et de la famille et les résultats des élèves en lecture. Le test d’Anova permet de constater que, quelle que soit l’origine socioéconomique, les élèves qui obtiennent un résultat supérieur à la moyenne canadienne sont ceux qui bénéficient d’un capital social de l’école élevé en ce qui concerne l’utilisation des ressources éducatives disponibles.
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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 | 0.004 |
| 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 | 0.001 |
| 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".