Trait Anger, Physical Aggression, and Violent Offending in Antisocial and Borderline Personality Disorders
Bibliographic record
Abstract
Antisocial personality disorder (ASPD) and borderline personality disorder (BPD) are common conditions in forensic settings that present high rates of violence. Personality traits related to the five-factor model personality domains of neuroticism and agreeableness have shown a relationship with physical aggression in nonclinical and general psychiatric samples. The aim of the present investigation was to examine the association of these personality traits with violence and aggression in ASPD and BPD. Results revealed that trait anger/hostility predicted self-reported physical aggression in 47 ASPD and BPD subjects (β = 0.5, p = 0.03) and number of violent convictions in a subsample of the ASPD participants (β = 0.2, p = 0.009). These preliminary results suggest that high anger and hostility are associated with physical aggression in BPD and ASPD. Application of validated, self-report personality measures could provide useful and easily accessible information to supplement clinical risk assessment of violence in these conditions.
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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) | 0.000 | 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".