The Effectiveness of Sexual Offender Treatment for Juveniles as Measured by Recidivism: A Meta-analysis
Bibliographic record
Abstract
Published and unpublished data from nine studies on juvenile sexual offender treatment effectiveness were summarized by meta-analysis (N=2986, 2604 known male). Recidivism rates for sexual, non-sexual violent, non-sexual non-violent crimes, and unspecified non-sexual were as follows: 12.53%, 24.73%, 28.51%, and 20.40%, respectively, based on an average 59-month follow-up period. Four included studies contained a control group (n=2288) and five studies included a comparison treatment group (n=698). An average weighted effect size of 0.43 (CI=0.33-0.55) was obtained, indicating a statistically significant effect of treatment on sexual recidivism. However, individual study characteristics (e.g., handling of dropouts and non-equivalent follow-up periods between treatment groups) suggest that results should be interpreted with caution. A comparison of odds ratios by quality of study design indicated that higher quality designs yielded better effect sizes, though the difference between groups was not significant.
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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 | 0.010 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.027 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".