The Nullification of Section 718.2(e): Aggravating Aboriginal Over-Representation in Canadian Prisons
Bibliographic record
Abstract
This article considers the disproportionate incarceration rate of Aboriginal offenders in Canadian prisons and the effectiveness of Parliament's attempts at alleviating this problem through the enactment of section 718.2(e) of the Criminal Code. This article focuses primarily on two recent Supreme Court of Canada decisions-R. v. Gladue and R. v. Wells. It is argued that the Court's narrow view of systemic factors, the Imitation it places on section 718.2(e) through its discussion of serious offences, as well as a number of practical problems inherent in the framework provided by the Court, strip the provision of its remedial intent. The article then argues that the Courts failure to recognize the distinct purposes of section 718 2(e) and the original sentencing provisions found in section 742.1, will aggravate the problem of Aboriginal over-representation in Canadian penal institutions.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| 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".