Bibliographic record
Abstract
During the EU-Community of Latin American and Caribbean States Summit of 2013, Mexico and the EU decided to explore the options for a comprehensive update of the Economic Partnership, Political Coordination and Cooperation Agreement, in particular its trade pillar. The negotiations started in May of 2016 and both sides reached an agreement on the trade part in April 2018. Furthermore, in 2018 Mexico has ratified the CPTPP, formerly known as TPP, and signed with United States and Canada a trade deal to replace the old NAFTA, the new USMCA. Following a pro-active economic diplomacy, Mexico's new agreements aimed at improving access conditions on external markets, including the EU Member States market, increasing trade flows, investment, and diversifying economic geography, as a way of reducing its economic dependence on the US that is presently significant.In this context, this article aims to present the implications of the New Agreement and of the new economic diplomacy in relation to the EU on the economic development of the country so that the state can benefit from greater intervention power to combat poverty and inequality, without raising taxes hence contributing to Mexico's "fourth transformation".
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".