Transatlantic convergence of preferential trade agreements environmental clauses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The United States and the European Union include several environmental clauses in their respective preferential trade agreements (PTAs). Building on an exhaustive and fine-grained dataset of PTAs’ environmental clauses, this article makes two contributions. First, it shows that the United States and the European Union have initially favored different approaches to environmental protection in their PTAs. The United States’ concerns over regulatory sovereignty and level playing field have led to a legalistic and adversarial approach, while the European Union's concerns for policy coherence have led to a more procedural and cooperative approach. Second, this article provides evidence that European and American trade negotiators have gradually converged on a shared set of environmental norms. Although the United States and the European Union initially pursued different objectives, they learned from each other and drew similar lessons. As a result, recent American agreements have become more European-like, and European agreements have become more Americanized. This article concludes that U.S. and E.U. approaches, far from being incompatible, can usefully be combined and reinforce each other.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it