El Acuerdo de Libre Comercio entre la UE y CANADA (CETA): Una evaluación de la política comercial de la UE
Bibliographic record
Abstract
The EU has recently introduced a radical shift in its political strategy with respect to trade agreements with third parties. The purpose of these agreements is not anymore directed by foreign policy interests, but lies in the economic interest consisting in gaining better access to the markets of third countries. The “deep” Free Trade Agreement (FTA) is the legal instrument used by the EU in this new stage. The trade agreement between the EU and Canada (CETA) is the latest and most successful example of this type of deep FTA, as it derives from its substantive and institutional elements discussed in this paper. Although it is unclear whether economically speaking this kind of agreements are so advantageous to the EU as they are to its partners, the fact is that the former has embarked on a rapid process of concluding these agreements in order to influence both the agenda and the international trade regulation, which is deeply affecting the multilateral trading system and the WTO as a global forum.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".