Psychopathy, Deviant Sexual Arousal, and Recidivism Among Sexual Offenders
Bibliographic record
Abstract
A sample of 68 incarcerated sexual offenders for whom assessments of psychopathy and sexual deviance were available were followed up postrelease for 7 years to determine (a) rates of recidivism, (b) discriminant and predictive ability of psychopathy and sexual deviance, and (c) degree of incremental predictive utility of grouping offenders based on extreme combinations of psychopathy and sexual deviance. The results confirm previous research, which suggests that general recidivism and sex offender typologies are differentiated using information on psychopathy. Rapists and child molesters were differentiated based on measures of deviant sexual arousal. Although some of the results are speculative with respect to the groups based on extreme cutoffs, the trends support this proposal. Those who displayed more psychopathic characteristics and deviant sexual arousal recidivated sooner and at significantly higher rates. These results are discussed in terms of their implications for the provisions of assessment and intervention strategies and for providing recommendations regarding prescriptive treatment.
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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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".