The Principles of Effective Correctional Treatment Also Apply To Sexual Offenders
Bibliographic record
Abstract
The effectiveness of treatment for sexual offenders remains controversial, even though it is widely agreed that certain forms of human service interventions reduce the recidivism rates of general offenders. The current review examined whether the principles associated with effective treatments for general offenders (risk-need-responsivity; RNR) also apply to sexual offender treatment. Based on a meta-analysis of 23 recidivism outcome studies meeting basic criteria for study quality, the unweighted sexual and general recidivism rates for the treated sexual offenders were lower than the rates observed for the comparison groups (10.9%, n = 3,121 vs. 19.2%, n = 3,625 for sexual recidivism; 31.8%, n = 1,979 vs. 48.3%, n = 2,822 for any recidivism). Programs that adhered to the RNR principles showed the largest reductions in sexual and general recidivism. Given the consistency of the current findings with the general offender rehabilitation literature, the authors believe that the RNR principles should be a major consideration in the design and implementation of treatment programs for 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 | 0.016 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".