Psychopathy and treatment outcome: Results from a sexual violence reduction program.
Bibliographic record
Abstract
The present study examined the association of psychopathy, measured by the Hare Psychopathy Checklist-Revised (PCL-R; Hare, 1991, 2003), to sexual offender treatment completion, change, and recidivism in a Canadian sample of 302 treated sexual offenders followed up in the community 17.6 years post release. Sexual violence risk and treatment change was evaluated via the Violence Risk Scale-Sexual Offense version (Wong, Olver, Nicholaichuk, & Gordon, 2003-2017), and general violence risk via the Sex Offender Risk Appraisal Guide (Quinsey, Harris, Rice, & Cormier, 1998). High-psychopathy men had significantly higher rates of sexual offender treatment noncompletion (30%) than low-psychopathy men (6%), although they did not evidence significantly less therapeutic change. The Affective facet of the PCL-R uniquely, significantly predicted decreased therapeutic progress, and along with the Lifestyle facet, it predicted treatment noncompletion. Examination of recidivism outcomes revealed that treatment completion in and of itself was not significantly associated with decreased sexual or violent recidivism among psychopathic offenders; however, therapeutic change, reflecting risk reduction, was significantly associated with decreased sexual and violent recidivism after controlling for baseline risk and PCL-R score. Results of survival analysis indicated that a subgroup of high-risk psychopathic men who made substantial treatment gains had lower trajectories of sexual and violent recidivism over the follow-up period relative to other high-risk men who demonstrated fewer treatment benefits. The issue of therapeutic pessimism with implications for the treatment and retention of high-psychopathy sexual offenders, per the two-component model, is discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".