Identification des facteurs liés à la consommation de cigarettes, d'alcool et de drogues à l'adolescence
Bibliographic record
Abstract
Cette étude vise à identifier les facteurs d'ordre personnel, familial, social et scolaire liés à la consommation de substances psychotropes à l'adolescence. Environ 1000 adolescents ont participé à quatre collectes de données échellonnées sur une période de 44 mois. Les résultats montrent un lien entre la consommation précoce de substances psychotropes et la persistance de cette habitude. D'autres facteurs tels les compétences à entrer en interaction avec les pairs, l'inadaptation scolaire et le manque de supervision parentale sont également des prédicteurs d'une telle habitude. En retour, l'importance accordée aux qualités morales et les réactions négatives vis‐à‐vis les habitudes de consommation de la mère sont associées à un fléchissement de cette habitude. La discussion porte sur l'importance d'identifier les trajectoires développementales menant à la dépendance aux substances psychotropes.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".