Sexual offender treatment outcomes among psychopathy subtypes
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine sexual offender treatment responses as a function of psychopathy subtype. Design/methodology/approach Measures of sexual violence risk, treatment change and outcome variables were coded retrospectively on a sample of 86 high Psychopathy Checklist-Revised (PCL-R) scoring sexual offenders. Psychopathy subtypes were identified through cluster analysis of PCL-R facet scores. Findings Two subtypes were identified labeled classic and aggressive. They were comparable in their level of risk and need and did not differ in rates of treatment completion or change. The aggressive subtype had higher rates of violent and general recidivism and higher frequencies of major mental disorder and cognitive disability. Results of Cox regression survival analysis demonstrated that treatment-related changes in risk were associated with reductions in violent recidivism for the aggressive, but not classic, psychopathy variant. Practical implications Psychopathy is a heterogeneous syndrome. Moreover, psychopathic offenders can demonstrate risk relevant treatment changes. PCL-R facet profiles have important responsivity implications. However, not all psychopathic offenders fare poorly in treatment. Originality/value This is one of very few studies to examine treatment response and links to outcome among psychopathic offenders, particularly as this relates to subtype.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".