The Impact of Aggravating and Mitigating Factors on the Sentence Severity of Sex Offenders
Why this work is in the frame
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Bibliographic record
Abstract
The aggravating and mitigating circumstances that contribute to increased, or decreased, sentence severity for sex offenders have largely been unexplored. Although previous studies have evaluated offending groups who have targeted adult-only, or children-only victims, the current study compares the sentencing outcomes of both offending groups. Using a sample of 519 federally sentenced sex offenders in the province of Quebec the current study explores the extent to which the Canadian criminal justice system penalizes offender- and offense-based characteristics. The results indicate that offense-based characteristics increased sentence severity for offenders who victimized adults and offender-based characteristics influenced sentence severity for offenders who victimized children. Findings are discussed within the context of previous studies to empirically explore sex offender sentencing and compare differences that aggravating and mitigating circumstances have on sentence outcomes.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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