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Record W7124963117 · doi:10.56269/elr/2025.5/bbm

The Inclusion and Enforcement of Sustainability into the European Union common Commercial Policy and the Struggle to Enforce it

2025· article· W7124963117 on OpenAlexaboutno aff
Bernat Baella i Mauset

Bibliographic record

VenueEsade Law Review De lege ferenda · 2025
Typearticle
Language
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementSustainabilityEuropean unionNegotiationInclusion (mineral)PoliticsSustainable development

Abstract

fetched live from OpenAlex

The European Union (the “EU”)’s concern for sustainability is well-known. In particular, the EU has increasingly added sustainability across all its actions including, for instance, in its negotiations with third countries such as Korea or Canada. In this article we will review how the EU has added sustainability in the Common Commercial Policy (“CCP”). The CCP reflects the economic and political priorities of the EU and is considered as one of the key elements of EU trade. In this article we will focus particularly on Free Trade Agreements (“FTAs”), one of the main instruments of the CCP. The EU’s inclusion of sustainability in the CCP and FTAs has followed a gradual process that deserves to be analyzed and explained, to understand the full extent of the commitments in sustainable matters and how these commitments have increased over time. Furthermore, the enforcement specificities of these commitments also deserve analysis. A special mechanism, known as Trade and Sustainable Development (“TSD”) chapter enforcement mechanism, was created to effectively enforce these provisions. The TSD chapter is inspired in the State-to-State Dispute Settlement approach, widely used in the World Trade Organization (the “WTO”), the main international organization dealing with international trade. The system of the TSD chapters implies that there is no mandatory enforcement mechanism but rather a system of panels of impartial experts who only serve recommendations in case of conflict. We will analyze the reasons behind adopting this softer enforcement approach, as well as academic and political views on it. We will also be comparing the CCP approach with (i) the WTO -given the fact that the WTO is the system that most countries follow, as members of it- and (ii) the external trade policy followed by the United States of America (the “US”), the champion of free trade. We will finalize this section with a reflection on future outlook and potential improvements. The article will conclude by assessing if the approach taken by the EU was made out of necessity or if it was a voluntary choice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.029
Scholarly communication0.0180.013
Open science0.0020.009
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.009
GPT teacher head0.323
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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