Évolution des comportements agressifs entre 17, 29 et 41 mois dans la population québécoise.
Bibliographic record
Abstract
Kesume Plusieurs hypotheses sur le developpement des comportements antisociaux se sont articulees autour de participants a partir de l'âge scolaire. L'objectif de la presente etude etait de verifier certaines de ces hypotheses pour la transition de 17, 29 et 41 mois. Les donnees pour deux comportements agressifs (i.e., se bagarre, attaque physiquement les autres) ont ete recueillies sur un echantillon representatif des enfants du Quebec. Premierement, les resultats suggerent que, conformement a l'hypothese de la socialisation, la propension a manifester un comportement agressif de facon frequente est plus stable entre 29 et 41 mois chez les garcons alors qu'au contraire, la propension a ne pas manifester ce meme comportement est plus stable chez les filles. Deuxiemement, les resultats suggerent que, conformement a l'hypothese de l'origine precoce, la propension a manifester un comportement agressif de facon frequente est plus stable entre 29 et 41 mois chez les enfants qui presentent la meme propension a 17 mois. Troisiemement, les resultats suggerent que, conformement a l'hypothese de la severite, un comportement agressif est plus stable entre 29 et 41 mois chez les enfants qui le manifestent de facon frequente. Cependant, le contraire est vrai chez la majorite des enfants qui ne manifestent pas un tel comportement a 17 mois. Quatriemement, les resultats suggerent que, conformement a l'hypothese du changement pour le pire, il y a un peu plus d'enfants qui commencent a manifester de facon frequente un comportement agressif entre 29 et 41 mois que d'enfants qui cessent de le faire.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".