Denial Predicts Recidivism for Some Sexual Offenders
Bibliographic record
Abstract
This study examined whether there were variables that moderated the relationship between denial and recidivism among adult male sexual offenders. The first study (N=489) found that the relationship with sexual recidivism was moderated by risk (as measured by the Rapid Risk Assessment for Sexual Offense Recidivism) but not by psychopathy (as measured by the Psychopathy Checklist-Revised). Contrary to expectations, denial was associated with increased sexual recidivism among the low-risk offenders and with decreased recidivism among the high-risk offenders. Post hoc analyses suggested that the risk item most responsible for the interaction was "relationship to victims". For incest offenders, denial was associated with increased sexual recidivism, but denial was not associated with increased recidivism for offenders with unrelated victims. These interactions were substantially replicated in two independent samples (N=490 and N=73). The results suggest that denial merits further consideration for researchers as well as those involved in applied risk assessment of sexual offenders.
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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 | 0.009 |
| 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) | 0.002 | 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".