USMCA 2.0: a few improvements but far from a ‘healthy’ trade treaty
Bibliographic record
Abstract
The USMCA (NAFTA 2.0), although signed over a year ago, went through several months of renegotiation of certain of its new rules that the Democrat-controlled US Congress wanted altered or strengthened. In December a 'Protocol of Amendment' was agreed upon and signed by the three Parties (the USA, Mexico, and Canada). A number of tough, new measures governing pharmaceuticals were revised or deleted, making it potentially easier for generic competition and lower drug costs in all three countries. Rules on protection of labour rights were also strengthened, lowering the threshold at which a complaint of unfair labour practices could be initiated. Procedures for investigating such a complaint or resolving a formal dispute were also improved. Similar procedural improvements were made on measures affecting environmental protection. These Protocol agreements are more health-positive than health-negative, and in the case of pharmaceuticals are of significant impact. Overall, however, these amendments are simply a political fine-tuning of the agreement. Concerns raised in our earlier health impact assessment of the USMCA, notably how the agreement's regulatory reforms reduce public health policy flexibilities, remain. The agreement continues to subordinate known or potential health costs of many of its measures to dubious claims of aggregate economic gains. Moreover, these gains, if materialized, are likely to accrue to those atop the income/wealth hierarchies in all three nations.
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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 | 0.016 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.012 | 0.013 |
| Insufficient payload (model declined to judge) | 0.022 | 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".