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Record W1996279786 · doi:10.7901/2169-3358-2014.1.1226

Preventing a Nationally-Significant Oil Spill on the Grand Banks of Newfoundland

2014· article· en· W1996279786 on OpenAlexaboutno aff
CDR Gabrielle G. McGrath

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsIcebergArcticOceanographyPopulationGeographyFisheryGlacierSea iceGeologyPhysical geography

Abstract

fetched live from OpenAlex

ABSTRACT As the Arctic becomes more heavily populated and more open to commercial shipping operations, the threat of an oil spill increases. On the Grand Banks of Newfoundland, both fixed and mobile oil rigs drill for the region's highly lucrative natural oil resources. This region also happens to be one of the most dangerous shipping areas in the world. The cold Labrador Current travels south from the Arctic bringing with it icebergs calved from the glaciers along the Western Greenland coast. As these icebergs travel south, they intersect directly with the transatlantic shipping lanes following the Great Circle route just south of Cape Race, Newfoundland. The cold waters of the Labrador Current interact with the warm waters of the Gulf Stream to create extensive regions of fog with little to no visibility. As the Arctic Ocean becomes more accessible to shipping, vessels will not only transit this region travelling east and west, but also north and south to new production areas in the Arctic. Any vessel entering or exiting the Northwest Passage must transit through this region. An oil spill caused by an explosion on one of the Grand Banks' oil rigs, an allision of an iceberg with one of the rigs, or a collision of a commercial tank vessel with an iceberg are just a few of the possible scenarios that could cause a devastating incident in this region. Pervasive fog limiting aerial and satellite coverage, the diverse seabird, fish, and marine mammal population, and the presence of sea ice and icebergs during more than half of the year would result in one of the most challenging responses in the world. Transport Canada, the Canadian Coast Guard, and the Canadian Association of Petroleum Producers have conducted extensive preparations for an oil spill response in this region. However, a more far-reaching response plan must be created through consultation between government and industry stakeholders, using lessons learned from the Deepwater Horizon incident in the Gulf of Mexico to prepare for an internationally-significant event. With the opening of the Arctic Ocean and the increase in the shipping and offshore drilling in this area, a comprehensive plan must be developed before an internationally-significant oil spill occurs.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0020.000

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 head0.016
GPT teacher head0.231
Teacher spread0.215 · 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.

Study designObservational
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

Citations1
Published2014
Admission routes1
Has abstractyes

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