Youth Psychopathic Traits and Their Impact on Long-Term Criminal Offending Trajectories
Bibliographic record
Abstract
The current study examined long-term offending patterns in relation to youth psychopathic traits. Criminal records of 126 adolescent offenders (80 male; 46 female) were analyzed for criminal activity between the ages of 12 and 23. Total scores on the Psychopathy Checklist: Youth Version were positively correlated with a higher number of overall offending incidents. After classifying youths into low ( n = 62), moderate ( n = 26), and high ( n = 38) psychopathic trait groups, results indicated that the moderate- and high-trait groups had consistently higher mean rates of criminal events (i.e., violent, nonviolent, drug related, and technical violations) throughout the follow-up period than the low-trait group. Contrary to what has been argued in previous psychopathy literature, a decrease in offending over time was observed in all three psychopathic trait groups. These results suggest that youths with psychopathic traits tend to display a higher level of criminal activity during adolescence, but are similar to lower psychopathic groups in also showing at least an initial decline in this behavior as they approach early adulthood.
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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 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".