Climate Change and Biodiversity as an Essential Element of EU External Trade Relations FTAs: Legal Effects and Policy Implications in EUCentral America Trade and Sustainable Development Relations
Bibliographic record
Abstract
Obligations on climate change and biodiversity are increasingly evident not just in the European Union’s (EU’s) environmental policy and cooperation, including through the rapid ratification of and attempts to strengthen implementation and compliance with the Paris Agreement and the Convention on Biological Diversity (CBD), but also in other economic relationships of the EU. While sustainable development has been an objective of the EU’s international trade agreements since 1994, efforts to address climate change and biodiversity originally appeared almost as an afterthought in these agreements. This article documents a fundamental shift in the EU’s external relations through the meaningful inclusion of cooperation on climate change and biodiversity in the EU’s trade and investment agreements, and provides an analysis of the legal and policy consequences. It argues that including global response to climate action (and potentially biodiversity) as an essential element in a bilateral or inter-regional economic relationship changes the nature of that relationship. The Paris Agreement and the new Kunming- Montreal Global Biodiversity Framework (GBF) contain long and medium-term objectives that all trading partners will want to achieve. While the legal text is designed not to be used in practice, the elevation of both climate change now and biodiversity in the future to an essential element, fulfils an important signalling function that permeates the entire trade relationship and has the potential to change its basis.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".