L’association entre l’état de vulnérabilité psychosociale pendant l’enfance et le rendement scolaire au primaire
Bibliographic record
Abstract
La presence de multiples facteurs de risque dans l’environnement familial et social peut compromettre la reussite scolaire des enfants. Pour examiner le lien entre le nombre de facteurs de risque, presents entre la naissance et l’âge de douze ans, et le rendement scolaire au primaire, des trajectoires de vulnerabilite ont ete creees a partir de donnees provenant de 2223 enfants quebecois. Les resultats montrent qu’environ un enfant sur cinq grandit dans un contexte ou l’on retrouve une multitude de facteurs de risque. Les enfants hautement vulnerables reussissent significativement moins bien aux examens ministeriels, administres en sixieme annee du primaire, et sont egalement environ six fois plus susceptibles de vivre un redoublement au primaire. Ces resultats soulignent l’importance de la mise en place, des l’âge prescolaire, de milieux educatifs de haute qualite pouvant attenuer les consequences potentielles de grandir dans un contexte d’adversite. Quant au niveau scolaire, il est incontournable de mettre en place, des le debut de la scolarisation, plus de ressources pour soutenir les enfants vulnerables qui sont a risque d’echec et, ulterieurement, d’abandon scolaires.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".