Personality characteristics and risk-taking tendencies among adolescent gamblers.
Bibliographic record
Abstract
Huit cent dix-sept etudiants provenant d'ecoles secondaires de la region de Montreal ont repondu a une mesure diagnostique de jeu etablie a partir du DSM-IV-J, au High School Personality Questionnaire (questionnaire d'evaluation de la personnalite des etudiants de l'ecole secondaire) (HSPQ), a l'echelle de recherche de sensation de Zuckerman (SSS), ainsi qu'a un questionnaire sur le jeu qui permet d'etablir la participation au jeu et les comportements lies au jeu. Huit des quatorze facteurs de la personnalite evalues par le HSPQ, ainsi que trois des quatre sous-echelles du SSS differaient selon le niveau de gravite des problemes lies au jeu. Une analyse discriminante a permis de determiner que des niveaux eleves de desinhibition, de susceptibilite a l'ennui, de jovialite et d'excitabilite, ainsi que des niveaux faibles de conformite et d'autodiscipline etaient fortement lies a la fonction qui predit le mieux le niveau de gravite de la dependance au jeu. Les resultats indiquent que les styles de personnalite et la prise de risque varient qualitativement chez les adolescents selon la gravite de leur comportement de jeu et que certains types de personnes sont plus susceptibles que d'autres de presenter des problemes de jeu.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".