Bibliographic record
Abstract
This paper examines the outcome of the Canadian legal case of Restoule v. Canada in the Ontario Court of Appeal, which has decided that the Canadian state must determine how it can best meet its constitutional obligations of adequate treaty annuity payments to the Anishinaabe Nation, and how allows for there to be a reconsideration of the relation between the Canadian legal system and Indigenous legal traditions. By examining the efficacy and saliency of various Indigenous legal traditions through the contextual scope of Restoule v. Canada, this paper extends an objective for the Canadian legal system to improve its connection to legitimizing diverse Indigenous legal traditions to better adjudicate the legal cases of Indigenous peoples. The four salient dimensions of Indigenous legal traditions I will explore are: Gitksan conflict management, Haudenosaunee deliberative law, Hul’qumi’num Mustimuhw kinship and land relations, and Mi’kmaw customary law.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.044 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".