Habitudes de jeu de hasard et d'argent chez les étudiants du secondaire
Bibliographic record
Abstract
La participation aux jeux de hasard n'est pas un phénomène nouveau. Certains individus développent progressivement une incapacité à résister à jouer, apportant ainsi des difficultés dans plusieurs domaines de leur vie. L'objectif de cette étude précise la prévalence du jeu pathologique chez un échantillon d’adolescents québécois et sa relation avec les conduites délinquantes, la consommation de cigarettes, de drogue et d'alcool et le rendement scolaire. La majorité (87%) des jeunes consultés ont déjà joué et 76,9% se sont adonnés à la pratique des jeux de hasard et d'argent dans la dernière année. Les résultats indiquent une prévalence de 2,6% de joueurs pathologiques chez les jeunes de 12 à 18 ans. Les problèmes de jeu sont associés aux habitudes de consommation de psychotropes, aux difficultés scolaires et personnelles.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".