The International Maritime Law Response to Climate Change: The Quest for the Shipping Industry's 'Fair Share' of GHG Emissions Reduction
Bibliographic record
Abstract
This paper discusses the role of international shipping in climate change mitigation, i.e., its emerging contribution to reduce carbon emissions in the wake of the Paris Agreement, 2015 and the expectation that the International Maritime Organization (IMO) will orchestrate the industry's contribution. The adoption of appropriate targets and standards is expected to be a particularly difficult task because of the global and transnational nature of the shipping industry and the difficulty in establishing the basis for a fair contribution for this industry. While considerable progress has been achieved in enhancing technical and operational regulations to improve efficiencies and reduce harmful emissions, there is concern such measures might not be enough to reduce ship GHG emissions sufficiently. It is arguable that market-based measures could make a difference, but this subject has been controversial and to date has eluded consensus. If a credible plan for industry's contribution does not promise a realistic fair contribution, it is conceivable that a future meeting of Contracting Parties to the United Nations Framework Convention on Climate Change, 1992, might revisit the decision to defer to the IMO on ship emissions and potentially encourage regionalism in forcing the industry's contribution.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".