Sex Offender Treatment Outcome, Actuarial Risk, and the Aging Sex Offender in Canadian Corrections
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present study is an examination of sex offender treatment outcome in a large national cohort of Canadian Federally incarcerated sex offenders followed up an average of 11.7 years postrelease. A brief actuarial risk scale (BARS), which predicted sexual and violent recidivism, was created for the purposes of the present study to control for risk-related differences between treated and untreated offenders. In total, 732 offenders were identified as having completed (n = 625) or not attended (n = 107) a sex offender treatment program and for whom sufficient information was available to complete the scale. Controlling for risk and individual differences in follow-up time using Cox regression survival analyses and an 8-year fixed follow-up period, treated sex offenders demonstrated significantly lower rates of violent, but not sexual, recidivism. When the treated and untreated groups were stratified by risk level, significant differences were observed only among moderate or high risk offenders. Some significant group differences also emerged on indicators of recidivism severity, with treated offenders demonstrating slower times to sexual reoffense and lower scores on a quantified metric of sexual and violent recidivism severity after controlling for risk. Differences in recidivism base rates between treated and untreated offenders were also larger in magnitude for younger offenders (i.e., under age 50 at release), than for older offenders; however, interactions between age and treatment were not found. The findings are consistent with the risk principle and have possible implications regarding the dynamic nature of sexual violence risk.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it