La prédiction des contacts avec le tribunal de la jeunesse : utilisation de l’évaluation du comportement par les pairs au début de l’école primaire
Bibliographic record
Abstract
This study sets out to verify to what extent the evaluations of the behaviour of children by their peers in first year primary school make it possible to predict those who will eventually end up with an open record at the Juvenile Court. During their first year at school the children are classified according to the following categories : aggressive, socially withdrawn, aggressive-withdrawn, neither aggressive/nor withdrawn (contrast). A total of 992 subjects (493 girls and 499 boys) were evaluated at two different times during the study. The results indicate that the “aggressive-withdrawn” subjects, among the girls, are more likely to have an open record at the Court during the 7 or 8 years after having been evaluated in first year primary school. These findings may indicate that the girls whose behaviour is aberrant are more easily identified by their peers, given the fact that they generally have fewer problems of adaptation than the boys during their first year of school.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".