Validation de la traduction française de la SURPS pour une population d'adolescents québécois
Bibliographic record
Abstract
OBJECTIVE: The Substance Use Risk Profile Scale (SURPS) has been developed to screen personality risk factors for substance abuse. This scale assesses 4 high-risk personality traits using a 23-item, self-report questionnaire. SURPS helps guiding targeted approaches to prevention of substance abuse and misuse. It has been validated in the United Kingdom, English Canada, Sri Lanka, and China. This study aims to validate this scale in a sample of French-speaking adolescents from Quebec as well as its sensitivity in a clinical sample of adolescents. METHOD: Two hundred two 15-year-old youths from a community sample completed a French version of SURPS as well as other measures of personality and substance use. This study reports the internal consistency and concurrent validity of the scale, as well as a factor analysis of items. Further, 40 youths (mean age 15.7 years) from a clinical population completed SURPS and their scores were compared with those of the community sample. RESULTS: SURPS French translation has good internal consistency and demonstrated a 4-factor structure very similar to the original scale. The 4 subscales show good concurrent validity, and 3 of the subscales were found to correlate with measures of substance use. Finally, 95% of the clinical sample was identified at high risk for substance misuse according to SURPS cut-off scores. CONCLUSION: SURPS French translation seems to be a valid and sensitive scale that can be used in a French-speaking adolescent population from Quebec.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".