Renewable Energy and Trade: Meeting the Paris Agreement’s Goals Through a Two-Step Jurisprudential Advance
Bibliographic record
Abstract
One of the challenges facing policy makers in emerging economies at the intersection of climate and trade is how to dramatically increase the manufacture, dissemination, and export of renewable energy technology through green industrial policy making without violating trade rules.This article proposes a twostep jurisprudential advance to this problem.First, it highlights a broader range of defenses under Article XX available to emerging economies connected with the climate crisis.Second, it offers a set of general principles that the WTO's own dispute settlement mechanism could introduce in the context of climate change.These solutions ultimately have broader import than just to developing countries (the locus of the case studies), as developed countries engage in their own industry policy battles and consider implementing green new deals.Introduction .....
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.029 | 0.015 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".