Construction d’une échelle de prise de risques et validation auprès d’adolescents pratiquant un sport alpin de glisse.
Bibliographic record
Abstract
Dans les sports alpins de glisse, la surrepresentation des adolescents panni les blesses justifie les interrogations sur leurs pratiques sportives risquees. L'objectif de cette etude est de construire et valider un questionnaire evaluant la temerite, la consommation de psychotropes et les comportements securitaires adoptes durant la pratique du surf des neiges ou du ski alpin. L'echantillon est compose de 685 adolescents (316 filles et 368 garcons) âges de 14 a 17 ans. Une analyse factorielle exploratoire par maximum de vraisemblance revele une solution de trois facteurs correspondant aux dimensions evaluees par le questionnaire et la coherence interne des echelles est generalement satisfaisante. Les correlations faibles a moderees entre les echelles indiquent qu'il s'agit de construits psychologiques distincts. Des analyses de regression multiple indiquent que les trois dimensions sont statistiquement predites par la recherche d'intensite (AISS; Arnett) et l'impulsivite (BIS-10, Barratt). Le sexe (mâle) et le type de sport pratique (surf des neiges, sports emergeants) sont associes a la temerite et a la consommation de psychotropes. Le nombre d'annees d'experience est positivement associe a la temerite et aux comportements securitaires, alors que l'estime de soi est positivement associee aux comportements securitaires. La discussion souligne l'importance de distinguer la prise de risques intentionnelle (temerite) des mesures de precautions (securite) dans les etudes portant sur la prise de risques.
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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 | 0.035 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".