CURRENT ISSUES AND KEY THEMES 31 Liability and Compensation for Ship-Source Marine Pollution: The International System
Bibliographic record
Abstract
legislative responses to marine pollution accidents are of-ten directly attributable to the repercussions, political and otherwise, from such accidents. For example, many states, Australia, Canada, and the UK among these, revised their marine pollution legislation after the Torrey Canyon acci-dent in 1967. Canada’s Shipping Act was again extensively revised after the Arrow disaster in 1971, and France revised its legislation extensively after the Amoco Cadiz ground-ing in 1978. In the more recent past, the United States re-acted strongly after Exxon Valdez; Australia after the Kirki and Iron Baron disasters; the North African states after the Kharg V spill; the Malacca Straits states after the Naga-saki Spirit and Maersk Navigator collisions; and the UK, again, after the Braer and Sea Empress groundings. Ac-tion at the IMO’s international level was commensurately speeded up. In other words, the periodic serious marine pollution ac-cident appears to have indirect positive benefits for the marine environment by tightening up regulations, focus-ing attention, stimulating pollution control and related scientific research, and generally raising environmental consciousness in an industry that, despite the IMO’s guid-ing principle of ‘safer ships and cleaner seas’, has concen-trated more on the former than the latter. All of this is very good providing that revisions of laws and updating of re-sponses occur at the international level and are then quickly implemented at the national level. It is hardly necessary to stress that shipping is an international industry that can only be regulated with globally accepted rules developed through intergovernmental organizations (IGOs). This approach ensures uniform solutions expressed in terms of international maritime law. Unilateralism in an International Setting Problems arise when states do not implement what they have agreed to internationally or, perhaps even worse, if they seek to take a unilateral approach that is often not based on a full appreciation of the repercussions of such action. The reasons for such action may, at times, be per-fectly understandable. If a state has been at the receiving end of a serious pollution accident, there is bound to be
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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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.022 | 0.025 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.033 | 0.023 |
| Insufficient payload (model declined to judge) | 0.041 | 0.005 |
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".