NAFTA 2.0: The Greenest Trade Agreement Ever?
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 renegotiation of what US President Trump called ‘the worst trade deal ever’ has resulted in the most detailed environmental chapter in any trade agreement in history. The USMCA mentions dozens of environmental issues that its predecessor, the North American Free Trade Agreement (NAFTA), overlooked, and in line with contemporary US practice, brings the vast majority of environmental provisions into the core of the agreement, and subjects these provisions to a sanction-based dispute settlement mechanism. It also jettisons two controversial NAFTA measures potentially harmful to the environment. However, this paper argues that the USMCA only makes limited contributions to environmental protection. It primarily replicates most of the environmental provisions included in recent agreements, and only introduces three unprecedented environmental provisions. Moreover, it avoids important issues such as climate change, it does not mention the precautionary principle, and it scales back some environmental provisions related to multilateral environmental agreements.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.007 |
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