USMCA has pros and cons for Mexico
Bibliographic record
Abstract
Subject Implications of the USMCA. Significance Mexico’s Senate on December 12 ratified changes to the US-Mexico-Canada Agreement on free trade (USMCA), agreed on December 10. Several important changes were signed by the three governments in Mexico City, altering the original agreement signed in November 2018. Mexico now awaits ratification of the final deal in Washington and Ottawa. If enacted, the accord will replace NAFTA, which has determined the rules of trade among the countries since 1994. Impacts What was initially framed as a political victory for AMLO may lose lustre as details emerge on the concessions granted by his government. Long-term auto industry investments in Mexico may suffer due to new stipulations on issues such as regional content and wages. After the USMCA is formally enacted, Trump will probably focus on seeking to reduce the US trade deficit with China.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".