Restorative Justice and Indigenous Courts Within the Penal Continuum: Rethinking Indigenous Over-Incarceration in Canada
Bibliographic record
Abstract
Restorative justice has emerged as a comprehensive response to the over-incarceration of Indigenous peoples in Canada. Landmark developments – such as the 1999 Gladue decision and the creation of Indigenous People’s Courts (IPC) – have reshaped sentencing by integrating factors like discrimination and adverse socio-economic conditions. Beyond legal reform, restorative justice addresses colonial legacies and social inequalities. This article examines its role in recent Canadian initiatives – specifically the Royal Commission on Aboriginal Peoples and the Sentencing Reform Act (both enacted in 1996) – and draws on three months of fieldwork at the Indigenous People’s Court in Ottawa. The analysis focuses on the pivotal role of counseling and innovative restorative or communitarian programs within the IPC framework. Notably, many cases leading to trial do not stem from initial infractions but from failures to comply with conditional sentences under the Gladue principles – which emphasize diversion, probation, and “restoration” through counseling. The flexible notion of restoration – achieved by promoting resilience – facilitates ongoing behavioral profiling and supports emerging networks of experts. These mechanisms broaden the penal net by considering individual backgrounds more deeply and by expanding the range of interventions available that are not perceived as punitive sentences. It is proposed a nuanced perspective that views restorative justice and punitive measures as convergent, thereby revealing policy biases and contributing to the expansion of the penal system and its selectivity.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.048 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".