The association between sentencing and recidivism in men who have committed a sexual offence
Bibliographic record
Abstract
There have been few studies examining the impact of sentencing decisions on recidivism in individuals who commit sexual offences, which is important as this population may face more stigma, and different conditions in the community, than individuals who have committed non-sexual offences. The present study examined how sentence type and custodial sentence length impacted the incidence of sexual, violent, and non-violent recidivism in 659 Canadian men who were convicted of a sexual offence. Findings suggested that custodial sentences were associated with a greater likelihood of reoffending for all types of recidivism, except sexual recidivism. Custodial sentences of less than two years were consistently associated with an increased likelihood of non-sexual recidivism compared with those who served no time in custody. There was more mixed evidence for whether custodial sentences and custodial sentence length added to the prediction of recidivism once risk and sexual offence type were accounted for.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".