Might Cooperative Approaches Not Be So Cooperative? Exploring the Potential of Article 6.2 of the Paris Agreement to Generate Legal Disputes
Bibliographic record
Abstract
Abstract With Article 6.2, the Paris Agreement offers its parties the possibility to engage in cooperative approaches to import mitigation outcomes that have been generated on the territory of another party and use these international transferred mitigation outcomes (itmos) for compliance purposes. While this possibility seems to pave the way to more—and presumably new forms of—climate cooperation outside the UN climate regime, this paper asks whether Article 6.2 is also likely to spark disagreement among states. It is suggested that it bears as much a potential to generate cooperation as to generate conflict. To illustrate that point, the paper explains how Article 6.2 could lead to conflict between developed and developing states over the legality of unilateral restrictions on the admittance of itmos and discusses what such conflict may look like, as well as its possible legal and political implications.
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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 | 0.026 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.031 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.014 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 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".