México ante a crise política cos Estados Unidos de América: o reto ante os tratados de libre comercio co resto do mundo
Bibliographic record
Abstract
The present document pretends to analyze the commercial behavior that for decades has been conducted by the Mexican State. Thus, a fundamental premise for this context was the establishment and implementation of an economic policy based on trade agreements that gave rise to an important positioning of Mexico in international markets; with this began an attempt to diversify the exports and imports in the country.Mexico is one of the countries at the international scene that has an important number of free trade agreements, which should assume that its economy is diversified, however in the practice is not, since much of the trade is still depending of the relationship with its northern neighbor. However, since the positioning of the new US government many doubts have arisen regarding the possibility of renegotiating or cancel the most important trade agreement that has driven the Mexican economy, the Free Trade Agree-ment with the United States and Canada, known as the North American Free Trade Agreement (NAFTA). Likewise, an analysis is presented on the expectations that could be presented in the scenarios mentioned above, based on the importance of the commercial opening for the three nations, these scenarios only give an idea of how complicated could be an elimination for some of the countries, not only for the Mexican State.
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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 | 0.004 | 0.005 |
| 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 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".