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Record W1536409088

Is the LNG Industry Ready for Strict Liability

2006· article· en· W1536409088 on OpenAlexaboutno aff
P.R. Weems, Kate Keenan

Bibliographic record

VenueOil, Gas & Energy Law Journal · 2006
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConventionTreatyLiabilityLawBusinessDamagesPolitical scienceInternational trade
DOInot available

Abstract

fetched live from OpenAlex

It has been said that lie gets halfway around the world before the truth has a chance to get its pants [1]. It seems that misconceptions travel equally as fast. One misconception that appears to have spread throughout the LNG world is that the International Maritime Organization's Hazardous and Noxious Substances Convention (the Convention) [2] will never be of particular significance to the LNG industry. On the contrary, the truth is that the Convention, an international treaty providing more than US$350 million in compensation to victims of a casualty involving hazardous and noxious substances (HNS), is likely to become effective in the very near future and, unlike any prior international treaty dealing with transportation liability, will have a direct impact on LNG shipments into countries which adopt it. The Convention will substantially increase, in any member state, the potential liability of LNG shipowners and of LNG cargo owners for damages to third parties. Because the International Maritime Organization (the IMO) completed its work on the Convention almost eight years ago, from afar it appeared that the Convention would simply die a slow death due to the lack of a sufficient number of countries taking the requisite steps to ratify it [3]. The reality behind the scenes is quite different, however, and recent events evidence considerable governmental support for the Convention, including: (i) the issuance of European Council Decision 971/2002, which cleared the way for and encouraged EU member states to ratify the Convention unilaterally; (ii) a June 2003 meeting of the HNS Correspondence Group in Ottawa, Canada, during which delegates from a number of HNS importing nations agreed on a concrete governmental implementation plan; and (iii) an October 2003 meeting of the IMO's Legal Committee in London, during which the Legal Committee adopted the Ottawa recommendations, smoothing the way for earlier ratification of the Convention. As a result of these and other recent developments, the Convention is arguably closer to being a reality than one might think. Despite the fact that very few in the LNG industry know what it entails (understandably so given its complexity and, until recently, its relegation by many to the obituaries column in the international conventions digest), so long as the Convention continues to gain the momentum which it has recently found, it could well be a reality in the very near future. Supposing it becomes a reality, why should the LNG industry care? Because, for the first time, an international liability regime will make LNG shipowners and cargo title holders strictly liable for accidents solely as a consequence of LNG being classified as HNS. Because few in the LNG industry appear to be taking the inherent commercial risks of the Convention into consideration in current commercial dealings. Because, with the recent proliferation of terrorist activities worldwide, the LNG industry can no longer rely on sound technology and responsible management to avert casualties. In an effort to highlight the importance of the changes that will follow ratification and implementation of the Convention, this article briefly discusses and attempts to put into perspective the latest developments on the road toward that end. It examines the LNG industry's historical contribution to the drafting of the Convention and provides a sneak preview into how the Convention is designed to work. Finally, it discusses the likely effects the Convention will have on the LNG industry.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.815
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.217
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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