Making Matters Worse: The Safe Streets and Communities Act and the Ongoing Crisis of Indigenous Over-Incarceration
Bibliographic record
Abstract
The Safe Streets and Communities Act (SSCA), a recent and wide-reaching piece of the Conservative Party of Canada’s tough-on-crime agenda, will exacerbate the ongoing crisis of Indigenous over-incarceration. In this article, I review the extensive literature that addresses the causes of Indigenous over-representation in the Canadian criminal justice system before assessing the impact of R v Gladue, nearly fifteen years after the Supreme Court of Canada’s decision. I analyze how the SSCA will restrict courts’ resort to Gladue, thus resulting in the incarceration of increasing numbers of Indigenous people. I then develop one avenue of constitutional challenge to the SSCA’s mandatory minimum sentences that is tailored to Indigenous offenders. Drawing on insights from Gladue and from the cases that followed it, I argue that the meaning of “cruel and unusual punishment” under section 12 of the Canadian Charter of Rights and Freedoms should shift in the case of Indigenous offenders to account for the well-established connections between colonialism and the over-incarceration of Indigenous people.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.023 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| 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".