Fréquence et Type de Délits Commis Par des Hommes Atteints de Troubles Mentaux Graves Selon l’âge D’apparition Des Comportements Antisociaux
Bibliographic record
Abstract
OBJECTIVE: There are important differences in frequency and type of offence committed by individuals with severe mental disorders (SMD), depending on whether their antisocial behaviors began at an early age or as adults. However, individuals having shown early antisocial behaviors do not form an homogenous group. This study's objective is to test if the antisocial behaviors earliness could explain this heterogeneity. METHOD: 137 men with SMD under 3 separate legal status were recruited. They were distributed in 3 groups according to the antisocial behaviors earliness. RESULTS: The participants in the childhood group commit more violent offences and more of them present a substance use disorder compared with those in the adult group. A more frequent alcohol use disorder separates the youth group from the adult group. There is no significant difference between the childhood and the youth group, but there are more reported offences in the childhood group. CONCLUSIONS: Our results suggest that the age of antisocial behaviors onset should be considered in evaluating risk and managing individuals with SMD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".