Regime Interaction and Climate Change: The Case of International Aviation and Maritime Transport
Bibliographic record
Abstract
The regulation of greenhouse gas emissions from international aviation and maritime transport has proved to be a difficult task for international climate negotiations such as the Paris Agreement in 2015. Almost two decades prior, Article 2.2 of the Kyoto Protocol excluded emissions from international aviation and maritime transport from its targets, delegating the negotiation of sector-specific regulations to the International Civil Aviation Organization (ICAO) and the International Maritime Organization (IMO), respectively. However, progress at these venues has also been limited. Regime Interaction and Climate Change maps out the legal frameworks in the Climate, ICAO and IMO regimes, and explores the law-making process for the regulation of international aviation and maritime transport through the lenses of fragmentation of international law and regime interaction. The book sheds light on how interaction between these three regimes occurs, what the consequences of such interaction are and how they can be managed to resolve conflicts and promote synergies. This book will be of great interest to scholars of international environmental law and governance, climate change policy and climate change law.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".