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Record W1975355720 · doi:10.7901/2169-3358-2001-1-263

Oil Spill Risks from Nontank Vessels1

2001· article· en· W1975355720 on OpenAlexaboutno aff
Jean R. Cameron

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2001
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsContingency planOil spillPetroleumPort (circuit theory)Emergency responseEnvironmental scienceBayFuel oilEngineeringEnvironmental planningEnvironmental protectionWaste managementCivil engineeringComputer scienceComputer security

Abstract

fetched live from OpenAlex

ABSTRACT An issue of increasing concern worldwide is that of oil spills from nontank vessels that carry large quantities of petroleum product as fuel or lubricants. The New Carissa incident in Oregon in 1999 is only one of several that have impacted the U.S. West Coast in the last few years. Others include the M/V Kuroshima, which grounded in Dutch Harbor, Alaska in 1997, and the M/V Kure, which spilled oil in Humbolt Bay also in 1997. The Tenyo Maru was cut in half in a collision and sank with the loss of one life and a spill of at least 100,000 gallons of heavy fuel oil and diesel in Washington State in 1991. Additional examples of both spills and threats of spills are sited, both in the United States and worldwide. This paper examines a number of actions that have been taken in response to this threat. One such model is the Canadian requirement that vessel owner/operators demonstrate a formal agreement with an approved response contractor, and list that contractor in their Shipboard Oil Pollution Emergency Plan (SOPEP). A more comprehensive approach would be to establish approved “umbrella” contingency plans for major port areas, supported by contracts with oil spill removal organizations (OSROs). This preferred model has been adopted by the U.S. West Coast states, and affords the opportunity for the contracted responders to drill with emergency response officials, thus improving the likelihood of an efficient, coordinated spill response. This paper also proposes spill prevention design elements for nontank vessels.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.003

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 head0.142
GPT teacher head0.383
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

Study designOther design
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
Published2001
Admission routes1
Has abstractyes

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