Constitutionalising Secondary Rules in Global Environmental Regimes: Non-Compliance Procedures and the Enforcement of Multilateral Environmental Agreements
Bibliographic record
Abstract
Due to its remarkable success, the model of the Montreal Protocol's non-compliance procedure (NCP) has been adopted in other environmental regimes, whose primary norms differ considerably. Hence, this article distinguishes different types of global environmental regimes and assesses the performance of NCPs therein as endogenous enforcement mechanisms. In fact, the reciprocal nature of the main conventional obligations in some more recent environmental regimes seems to hamper the effectiveness of compliance procedures. On this basis, the article puts forward some tentative considerations from a constitutional perspective. Drawing from the experience gained under environmental regimes in the region of the United Nations Economic Commission for Europe (UNECE), it explores the feasibility of transplanting some aspects of the model of the Aarhus Convention NCP into the more complex global context. Further, it reflects upon the potential of enhancing synergies between NCPs and national and international judiciaries as a step towards the consolidation of international public law in this area.
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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 | 0.062 | 0.092 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".