Trade protection via tariff rate quota administration
Bibliographic record
Abstract
In January 2022, the first dispute settlement panel convened under the United States-Mexico-Canada Agreement (USMCA) ruled that administration procedures for Canadian tariff rate quotas (TRQs) on U.S. dairy products violated Canadian trade obligations. Canada subsequently published new dairy quota administration policies to comply with the ruling. Using a dataset with monthly bilateral dairy trade flows at the 6-digit level from January 2014 to October 2023, we empirically assess the economic outcomes associated with this dispute from the perspective of the U.S. dairy industry . We find that — even under Canada’s original quota administration procedures — Canadian dairy TRQ concessions represented meaningful trade liberalization relative to the pre-USMCA status quo. However, in light of Canada’s revised procedures following the panel ruling, U.S. exports to Canada experienced a substantial increase for affected dairy products . This indicates that Canada’s original quota administration procedures represented a “binding” trade restriction beyond the negotiated quota. USMCA dispute settlement procedures effectively worked to remove the barrier.
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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 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".