Subtypes of adolescent offenders: affective traits and antisocial behavior patterns
Bibliographic record
Abstract
Etiological models of life-course persistent offending often emphasize behavioral explanations. Suggestions that persistent offenders have psychopathy ignore the distinct non-behavioral features of the psychopathy disorder. Using a three-factor model of the PCL-YV and cluster analysis with 259 incarcerated adolescents, we identified four distinct juvenile subtypes on the basis of affective, interpersonal, and behavioral dimensions. Prospective and retrospective comparisons of antisocial behavior patterns found the cluster comprising all three psychopathy dimensions to be the most chronic and severe. Impulsive features alone were strongly associated with severe antisocial behaviors retrospectively, but not prospectively. Findings rebut the proposal that disruptive behavioral and impulsive symptoms can identify "fledgling psychopaths." Assessments that disregard callous-unemotional traits will likely result in high false positive rates among serious adolescent offenders. Implications for developmental models of chronic offending are discussed in light of the need for further follow-up into adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".