The Agreement on Climate Change, Trade, and Sustainability – A New Step in Establishing A WTO Legal Framework for Environmental Trade?
Bibliographic record
Abstract
Abstract The Agreement on Climate Change, Trade, and Sustainability (ACCTS), signed in November 2024 by Costa Rica, Iceland, New Zealand, and Switzerland, offers an innovative solution to the longstanding challenge of aligning trade and environmental policies within the World Trade Organization (WTO). As an open plurilateral agreement, ACCTS provides a flexible framework for like-minded nations to pursue ambitious environmental trade initiatives, addressing key issues such as the liberalization of environmental goods and services, fossil fuel subsidy reform, and eco-labeling. While its effectiveness and future within the WTO remain subjects of observation, the ACCTS exemplifies how small groups of WTO members can take the initiative in creating a dynamic and adaptable agreement that could pave the way for broader multilateral cooperation in addressing climate change through trade.
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 | 0.019 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".