Resolving International Trade Disputes: The GATT Multilateral and the Canada-U.S. FTA Bilateral DSM Processes
Bibliographic record
Abstract
This chapter examines the procedures that are available under the General Agreement on Tariffs and Trade (GATT) for the signatory nations that would prefer a multilateral solution rather than a unilateral solution to the problem of material injury caused by another nation’s subsidy or firms’ dumping practices. It describes the institutional details of dispute settlement that were adopted by Canada and the United States in the Canada-US Free Trade Agreement, with the purpose of assessing how they may impact on the future use of the US trade laws against Canadian producers. The chapter reviews the general trade disputes and the anti-dumping and countervailing duty trade disputes that were taken to the GATT over the 1980—1993 period for dispute resolution by Canada and the United States in order to assess the GATT dispute systems’ effectiveness for resolving trade disputes. The GATT treaty grew out of US and British economic discussions held in 1945.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".