Bibliographic record
Abstract
In April 2003, the face of Canada's youth criminal justice system changed considerably. The Young Offenders Act (YOA) was repealed and the substitute legislation, the principle‐laden Youth Criminal Justice Act (YCJA), came into effect. It is not an entirely new act but was designed to build on the strengths of the YOA and address its weaknesses. The biggest criticism of the YOA was its lack of clear legislative direction; through the numerous principles and additional provisions, the YCJA proposes a remedy. The focus of this article is on two areas of the Act in particular, extrajudicial measures and sentencing, as these areas experienced the most change in the process of reforming the legislation. Specifically, these sections of the Act are analyzed in relation to four of the perceived problems under the YOA, all of which tie into the lack of clear legislative direction. If the provisions contained in these segments of the YCJA are adhered to in the manner and sentiment intended and if the principles are made a priority, then 1) the rate of youth incarceration in Canada should decrease, 2) the courts should no longer be overused, 3) there should be proper distinction between various degrees of seriousness of crimes, and 4) there should be more consistency in youth sentences across the country.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".