Refusers, Dropouts, and Completers: Measuring Sex Offender Treatment Efficacy
Bibliographic record
Abstract
A sex offender program delivered in a medium-security prison followed 109 treatment completers and 37 noncompleters for 2 years after release. Noncompleters, those who refused treatment or dropped out, had 6 times the rate of sexual and violent reoffending relative to completers. Among those who completed the program, however, positive evaluations of treatment change, such as quality of disclosure and enhanced victim empathy, found in posttreatment assessments did not correlate with recidivism. Furthermore, completers did not differ in their rates of recidivism from pretreatment rates predicted by the Static 99, an actuarial measure of anticipated sexual and violent recidivism. We conclude that the program did not influence propensities for sexual and violent recidivism but rather served as a prolonged screening instrument for sex offenders whose failure to comply with treatment attendance predicted higher rates of recidivism.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".