Agriculture in the United States, Mexico, Canada Agreement: Agreeing to keep things pretty much the same
Bibliographic record
Abstract
Abstract North American Free Trade Agreement (NAFTA) was referred to by U.S. President Trump as one of the worst trade deals ever made. Given this billing, one might have expected the result of its renegotiation to be a major change to the trading relationship between the United States and Canada. The new United States, Mexico, Canada Agreement (USMCA), however, retains a great deal of its predecessor. This is particularly true for agricultural trade. Canadian market access into the United States remains virtually unchanged. No major domestic regulatory changes were agreed to by Canada. While there were concessions made on market access for U.S. products into Canada's heavily protected sectors where the supply management policy applies, they do not appear to threaten the system. While the value of the compensation has not yet been announced, compensation for losses that will be suffered by farmers producing under supply management is agreed in principle. The USMCA is an agreement to keep things pretty much the same.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".