The NAFTA Negotiations — and Canada’s Priority Watch List Designation: It’s all about the Leverage
Bibliographic record
Abstract
Negotiating tactics can often appear harsh, but when the United States Trade Representative (USTR) placed Canada on its Priority Watch List (PWL), the move went beyond the standard give-and-take of renegotiating the North American Free Trade Agreement. Canada – a nation that believes in the rule of law – joins China, Algeria, Kuwait and Venezuela, to name just a few, on the PWL list for its alleged “worst” record in intellectual property standards. Granted, Canada has room for improvement in this area, but for the USTR’s annual Special 301 report to place it on the PWL is hardly credible. It is no coincidence that Canada, the only G7 country—and virtually the only western country-- to make either the PWL and the USTR’s lesser Watch List (WL), is also in the midst of renegotiating NAFTA with the United States and Mexico. The 301 process has always been political to some degree, but using it as a negotiating hammer with which to hit Canada over the head risks devaluing its importance in identifying genuine shortcomings in the IP realm that affect U.S. and Canadian businesses. The report is on target in identifying several IP areas requiring more rigorous attention from Canada, including counterfeit goods in transit and copyright issues. However, the U.S. is also unhappy with changes to Canadian pharmaceutical patent regulations and protectionist matters arising from the Canada-EU Trade Agreement that have to do with European geographical indications. Still, although Canada is not alone in the latter area, no European country is on the WL. Ironically, the U.S. Chamber of Commerce’s own ranking of 50 world economies on their IP standards shows that Canada improved in four out of six categories, coming in 18th among the 50. Venezuela, with whom Canada shares the notoriety of being on the PWL, was 50th out of 50. Clearly, Canada’s new ranking does not reflect reality and is a blatant negotiating tool, but the USTR appears less interested in the collateral damage it may cause as long as the U.S. can get the concessions it wants at the table. This is a game that two can play, however, and Canada’s turn at hardball may come if the U.S. decides one day that it wants to rejoin the latest incarnation of the Trans-Pacific Partnership, from which it so hastily withdrew when Donald Trump was elected president.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.011 |
| Scholarly communication | 0.022 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 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".