Hétérogénéité des troubles du comportement au primaire et perceptions de la situation sociale et familiale des élèves
Bibliographic record
Abstract
L’article porte sur les caractéristiques familiales et sociales qui distinguent des élèves présentant des troubles du comportement au primaire (n=306) d’élèves non à risque (n=101). Ces caractéristiques sont examinées selon la nature et la sévérité des problèmes comportementaux présentés, c’est-à-dire selon qu’ils répondent ou non aux critères diagnostiques d’un trouble déficitaire de l’attention/hyperactivité, d’un trouble de l’opposition avec provocation ou d’un trouble des conduites. Les résultats indiquent que les élèves qui ont ces problèmes ne se distinguent pas tous du groupe témoin, ni ne s’en différencient sur les mêmes caractéristiques sociales et familiales. Ces résultats suggèrent des interventions distinctes pour ces sous-groupes.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".