L’AGRESSIVITÉ EXCESSIVE CHEZ LE JEUNE ENFANT : ÉTUDE DES TROUBLES CLINIQUES ET DES ATTITUDES PARENTALES
Bibliographic record
Abstract
L’agressivité physique excessive chez les jeunes enfants est un problème important en santé mentale, entraînant des dysfonctionnements en famille et en collectivité, voire l’exclusion sociale précoce. Les objectifs de cette étude sont de : a) spécifier les troubles cliniques chez 60 jeunes enfants, âgés de moins de 5 ans, orientés pour de l’agressivité excessive ainsi que leur profil développemental; b) cerner les caractéristiques des attitudes parentales et les articuler avec les profils développementaux des enfants. Les résultats sont discutés en termes des stratégies thérapeutiques adaptées qui peuvent être proposées pour aider ces enfants et leurs parents.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".