Canada’s Legal Pluralism and the Revitalization of Indigenous Legal Orders: an Overview
Bibliographic record
Abstract
This article explores Canada's legal pluralism and the revitalization of Indigenous legal orders, drawing from the author's research stay at the University of Victoria, a leading center for Indigenous law in Canada. The University offers a pioneering joint degree program in Canadian Common Law and Indigenous Legal Orders, the first of its kind in the world. Additionally, it houses the Indigenous Law Research Unit (ILRU), which collaborates with Indigenous communities to re-articulate their laws, providing educational resources and methodologies for engaging with Indigenous legal traditions. Central to this research work is the adapted common law approach developed by legal scholars Val Napoleon (Salteau First Nation) and Hadley Friedland, which uses Indigenous stories and oral traditions as resources to draw out legal principles. The article discusses the broader context of legal pluralism in Canada, the influence of the Truth and Reconciliation Commission Final Report, and the method for integrating Indigenous legal traditions into contemporary legal frameworks which aim to foster an inclusive future for Canadian society.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".