Tariff evasion and rules of origin violations under the Canada‐U.S. Free Trade Agreement
Bibliographic record
Abstract
Abstract Using product‐level data on trade between Canada and the U.S., this paper presents evidence of tariff evasion and violation of the rules of origin occurring under the Canada‐U.S. Free Trade Agreement (CUSFTA). It shows that more imports go unreported at the destination country when tariffs are higher. Consistent with the tariff evasion hypothesis, this result implies that the trade creation effect of a free trade agreement may in fact be due to less underreporting. Further, this paper shows that the larger Canadian tariff preference margin for the U.S. is associated with more goods originating in third countries being transshipped through the U.S. territory for re‐export. The preference margin is also positively correlated with the value of excess imports from the U.S., which qualify for preferential treatment. Both results suggest the presence of persistent violations of CUSFTA’s rules of origin.
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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 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".