Violence Reduction Treatment of Psychopathy
Bibliographic record
Abstract
Abstract The treatment of psychopathy has a challenging history; psychopathy was even once deemed untreatable. Psychopathy, a personality disorder, is characterized by dysfunctional affective and interpersonal traits that frequently co‐occur with violence and criminal behaviors. The former traits are often operationalized by the Psychopathy Checklist–Revised Factor 1 (PCL–R Factor 1) and the latter behaviors by the PCL–R Factor 2. Research suggests treatment of psychopathy to reduce future violence and criminality is best directed toward reducing Factor 2 criminological features rather than changing Factor 1 personality traits. Treatment attrition and disruptions often associated with Factor 1 traits must be carefully managed to ensure treatment integrity. A two‐component model, based on the two‐factor conceptualization of psychopathy, has been proposed as a framework to guide violence reduction treatment of psychopathy. We review the psychopathy treatment literature, contrast major treatment approaches, and discuss the two‐component model with applications to different psychopathy subgroups.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".