The First Challenge to Canada’s Supply Management System under <i>CUSMA</i>: Tweaking the Supply Management System One Dispute at a Time
Bibliographic record
Abstract
Abstract In 2021, the United States challenged Canadian dairy import tariff rate quotas (TRQs) before the first state-to-state arbitration panel under Chapter 31 of the Canada-United States-Mexico Agreement (CUSMA). The panel held that the method of allocation of TRQs limited the US dairy industry’s access to the Canadian market and therefore violated CUSMA provisions. However, the panel also acknowledged that the Canadian supply management system for dairy products is a unique regulatory framework for production control, pricing mechanisms, and import control. This article explores the case as a test of the functioning of the improved CUSMA dispute settlement process and of Canada’s ability to protect its supply management system for dairy products from renewed pressure coming from its most important trade partner.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.011 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".