New NAFTA helps Canada’s Trudeau hurdle some problems
Bibliographic record
Abstract
Significance Along with Mexico’s leader President Enrique Pena Nieto, whose term ends on December 1, the new US-Mexico-Canada Agreement (USMCA) will be signed by US President Donald Trump and Canadian Prime Minister Justin Trudeau in November, though it then needs ratifying in the three countries. Canada was the last holdout after US and Mexican negotiators reached a deal in August; Canada made concessions on dairy, copyright terms and auto parts rules to safeguard Ottawa’s priorities in the USMCA, notably independent dispute resolution on anti-dumping and countervailing duties. Impacts Canadian pharm firms face increased market competition from US firms newly protected by additional patent protections. Canada’s public healthcare system faces new costs from biological and other new medicines; system reform calls could grow. Canadian dairy will lose some market share to US products but survive (most of the Supply Management system remains). Canadian retailers will see some small revenue slumps as more Canadians use lower duties for US shopping.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.006 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.014 | 0.011 |
| Insufficient payload (model declined to judge) | 0.058 | 0.007 |
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".