Changes in custody following the enactment of the Youth Criminal Justice Act
Bibliographic record
Abstract
This study explores the sentencing impact of the Youth Criminal Justice Act (YCJA), in contrast to the Young Offenders Act (YOA), using data from the largest custodial facility in British Columbia, Canada. Findings indicate that the number of youth in custody decreased an atypical amount under the YCJA despite an increase in the overall number of charges in the same timefiame. In addition, though all custodial sentences are now followed with a community-based component, the average length of the community segment decreased significantly under the new Act. Furthermore, offence seriousness appears to align more closely with custody length under the YCJA, indicating an increased adherence to the principle of proportionality when sentencing. Finally, under the YCJA, factors aside from offence seriousness, including gender and number of prior convictions, are less likely to influence the length of custody then they were under the YOA.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".