The Rebranded NAFTA: Will the USMCA Achieve the Goals of the Trump Administration for North American Trade?
Bibliographic record
Abstract
The United States-Mexico-Canada Agreement (usmca) was the product of a renegotiation of the former North American Free Trade Agreement (nafta) that was intended by the Trump administration to “put America first.” This article analyzes the most important new provisions in the usmca that that administration believed would inhibit foreign investment in Mexico and reverse the offshoring of U.S. jobs. Some of the new provisions represent improvements over nafta, especially the limitations on investor-state dispute settlement and strengthened protections for labor rights. However, the new requirements for automobile production are likely to backfire by making North American automotive production more expensive and less competitive. On the whole, the formation of the usmca probably enhanced, rather than lessened, the confidence of foreign investors in the Mexican economy. However, the agreement is unlikely to bring about large gains in U.S. manufacturing employment or to boost the long-run growth of the Mexican economy.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".