The relation of psychopathy to concurrent aggression and antisocial behavior in high‐risk adolescent girls and boys
Bibliographic record
Abstract
The present study examined the concurrent relationship between psychopathy characteristics as measured by the PCL:YV and aggressive and antisocial behavior in a sample of 142 high-risk adolescent girls and boys. The unique relationship between each of three PCL:YV factors (Arrogant and Deceitful Interpersonal Style, Deficient Affective Experience, and Impulsive and Irresponsible Behavioral Style) and outcomes was evaluated to determine which aspects of psychopathy are most crucially linked to aggressive and antisocial behavior in adolescents. Dependent measures were expanded to include both relational and physical forms of aggression to better capture meaningful outcomes for girls and boys. Regression analyses showed that the relationships between psychopathic features and outcomes were equivalent for boys and girls, and that deficits in affect were most consistently associated with aggression. These findings are concordant with the well established finding in developmental research showing that deficits in empathy and affect regulation are associated with aggression.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".