Adaptation de la PCL-SV à l’évaluation des adolescents suivis en Centre jeunesse : une étude préliminaire
Bibliographic record
Abstract
A number of studies have shown the assessment of psychopathy to provide a useful basis for predicting adult criminal recidivism. However, where research on delinquent adolescents is concerned, the findings have been derived from rather small samples, such that additional investigation is warranted. The objective of the present study is to conduct an initial examination of the reliability and validity of the French-language version of the “Psychopathy Checklist Screening Version” (PCL:SV) and to compare results against several other samples reported in the literature. The sample of this study included 48 young people ages from 15 to 19 who were recruited from three Centres jeunesse du Québec (Quebec youth centres). All of the youths selected had exhibited a conduct disorder or delinquent behaviour during adolescence. Psychopathy assessment performed using PCL:SV shows good internal consistency of scales, along with very satisfactory inter-rater reliability. Correlations between PCL:SV and related indices (antisocial personality disorder; frequency and range of delinquent of delinquent activities; frequency and range of use of psychoactive substances, etc.) occur much as expected. On the whole, the psychometric properties of the scale are similar to those using adult samples or to other versions of PCL (PCL-R revised or PCL-YV). This study also puts forward a number of recommendations concerning the pursuit of work validating the French-language version of this scale.
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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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".