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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".