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Record W2055349614 · doi:10.7901/2169-3358-2014.1.2172

Environmental Damage Liability Regimes Concerning Oil Spills - A Global Review and Comparison

2014· review· en· W2055349614 on OpenAlex
Barbara J. Goldsmith, Tara K. Waikem, Tara Franey

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2014
Typereview
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsDamagesLiabilityOil spillLegislationDirectiveBusinessEnvironmental planningEuropean unionOffshore oil and gasMarine Strategy Framework DirectiveEnvironmental lawEnvironmental protectionEnvironmental scienceEnvironmental resource managementNatural resource economicsSubmarine pipelineAccountingEngineeringLawPolitical scienceInternational tradeComputer scienceEconomicsEcology

Abstract

fetched live from OpenAlex

ABSTRACT Recently, there have been a number of key developments related to oil spill-related liability worldwide. These developments include: the recent expansion of damages under the European Union Environmental Liability Directive to all marine water; proposed changes to the Canadian offshore oil legislation that would allow for the specific recovery of environmental damages; implementation of US legislation which directs recovered funds from an oil spill to be used in the affected area; and more. This paper will identify and describe the various environmental liability regimes in different regions of the world which contain requirements for the restoration of natural resources affected by these incidents. The paper also will highlight similarities and differences among these regimes, as well as some of the synergies in actual practice. In addition, and to the extent possible, the paper will provide some of the lessons learned and best practices relative to the determining environmental damage liability under the different regimes.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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