US proposals threaten NAFTA’s regional auto sector
Bibliographic record
Abstract
Subject The North American auto sector. Significance The third round of talks over the renegotiation of the North American Free Trade Agreement (NAFTA) ended in Ottawa on September 26, following relatively unproductive and tense rounds in Washington and Mexico City. A point of particular contention is Washington’s proposal to tighten rules of origin (RoO) for the automotive sector and potentially to introduce national content requirements for cars to enter the US market duty-free. Impacts Disrupting NAFTA automotive value chains would ultimately benefit lower-cost auto parts producers in China and South-east Asia. Greater auto sector trade between China and Mexico would encourage closer bilateral ties. Carmakers will respond to any need to increase value-added in the United States by ramping up automation, minimising gains for US workers.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.017 | 0.007 |
| Insufficient payload (model declined to judge) | 0.058 | 0.025 |
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".