Indigenous Rights and Trade Obligations: How Does<i>CUSMA</i>’s Indigenous General Exception Apply to Canada?
Bibliographic record
Abstract
Abstract Canadian commitments under trade and investment treaties have been an ongoing concern for Indigenous peoples. TheCanada-United States-Mexico Agreement(CUSMA) is the first Canadian treaty to include a general exception for measures that a party state “deems necessary to fulfill its legal obligations to [I]ndigenous peoples.” This exception is likely to afford Canada broad, but not unlimited, discretion to determine what its legal obligations to Indigenous peoples require. There is a residual risk that Canada’s reliance on the exception could be challenged through theCUSMAdispute settlement process. ACUSMApanel would not have the expertise necessary to decide inevitably complex questions related to what Canada’s legal obligations to Indigenous peoples require. While state-to-state cases under theNorth American Free Trade Agreementhave been rare, aCUSMApanel adjudication regarding the Indigenous general exception risks damaging consequences for Canada’s relationship with Indigenous peoples.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.013 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".