Denial Predicts Recidivism for Some Sexual Offenders
Why this work is in the frame
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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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it