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 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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".