HAPING GLOBAL TRADE NORMS: THE EU-MERCOSUR AGREEMENT AND THE EU’S ROLE IN THE INTERNATIONAL ORDER
Bibliographic record
Abstract
This paper examines the EU-Mercosur Association Agreement as a critical test of the Union’s capacity to project normative influence through trade while preserving strategic interests. It reconstructs two decades of negotiations, compares the final text with CETA (EU-Canada) and the EPA (EU-Japan), and assesses whether the 2024 revisions convert aspirational clauses on sustainability, labour rights and climate action into justiciable obligations. A qualitative analysis of topic exposes an asymmetry: extensive tariff liberalisation and regulatory gains coexist with fragile enforcement mechanisms and the complex ratification requirements of a mixed agreement. The revised annex designates the Paris Agreement and anti-deforestation commitments as “essential elements”, yet their effectiveness depends on administrative capacity, participatory monitoring and an untested rebalancing procedure. The paper concludes that the Agreement’s implementation will reveal whether the EU can reconcile market power with normative credibility amid intensifying geo-economic competition in Latin America and beyond today.
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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 | 0.009 | 0.010 |
| 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 | 0.023 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| 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 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".