Harmonizing the Sentencing of Young and Adult Offenders: A Comparison of the Youth Criminal Justice Act and Part XXIII of the Criminal Code
Bibliographic record
Abstract
This brief article reviews the principal sentencing provisions of the new Youth Criminal Justice Act, and explores their relationship to sentencing at the adult court level. As well, a number of normative issues raised by the YCJA are addressed. It is clear that a central goal of the act is to harmonize sentencing at the adult and youth court levels. However, several important differences remain, including the following: (1) the statement of purpose of sentencing in youth justice courts lays more emphasis on rehabilitation; (2) although the utilitarian sentencing objectives of deterrence, denunciation, and incapacitation are relevant to the sentencing of adults, they are not stated objectives for sentencing juveniles; (3) while important, proportionality plays a lesser role in the sentencing of juvenile offenders, although the influence of the principle will increase with the age of the young person; (4) courts should resort to the incarceration of the offender less often when sentencing juvenile offenders; (5) when considering the principle of parity in sentencing, the frame of reference for youth courts should be the region in which the individual is being sentenced; there is no such statutory direction at the adult level.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".