Bibliographic record
Abstract
Section 35 of the Constitution Act, 1982, the Supreme Court of Canada has said, protects existing Aboriginal and treaty rights from unjustified infringement at the hands of federal and provincial legislatures and governments. To give meaningful effect to section 35’s protection, we need, therefore, to understand what counts as infringement of such rights and why. The Supreme Court’s own jurisprudence to date on this question, alas, disappoints; it does not withstand close critical scrutiny. This article calls attention to several shortcomings and inconsistencies in that jurisprudence and proposes for initial consideration a more inclusive approach to infringement identification, one that draws a sharper distinction between the infringement and justification inquiries. Adoption of such an approach, however, could have unwelcome substitution effects, prompting cautious courts to be more selective when asked to authenticate future claims of Aboriginal right, more penurious when construing the constitutionally protected scope of particular treaty or Aboriginal rights and/or more generous to governments during the justification inquiry. If the goal is to optimize the protection that Canadian constitutional law affords to treaty and Aboriginal rights, we shall need to be mindful of the interdependence among the authentication, infringement, and justification inquiries, and we shall need to understand much more clearly than we currently do just where the outer limits are beyond which mainstream Canadian law cannot, or will not, countenance Indigenous ways and why.
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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 | 0.018 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".