Les différentes formes de violence agie envers les pairs à l'âge scolaire primaire influencent-elles la consommation de psychotropes chez les adolescents?
Bibliographic record
Abstract
La présente étude vise à : (1) Comparer les fréquences moyennes de consommation auto-révélée de tabac, d'alcool, de marijuana et de drogues dures au cours de l'adolescence (âge moyen = 15,8 ans) en fonction de quatre sous-groupes de filles agressives (directes, indirectes, mixtes et témoins) identifiées par les pairs à l'âge scolaire primaire (âge moyen = 12,0 ans; N = 191); et (2) Vérifier la contribution spécifique de chacun de ces sous-groupes sur la fréquence de consommation moyenne de psychotropes en contrôlant l'effet de la consommation au T1 et des variables démographiques (âge, revenu, structure familiale, changements de milieux). Les résultats démontrent que les filles manifestant de la violence indirecte et celles utilisant la violence mixte à l'école primaire consommeraient plus de tabac, de marijuana et de drogues dures à l'adolescence que celles ayant utilisé de la violence directe et que les témoins. Par contre, seul l'effet des variables démographiques et de la consommation initiale contribue à expliquer la consommation d'alcool chez les filles adolescentes.
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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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".