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Positive impacts of the 2013 update to the Canadian Coast Guard and United States Coast Guard Joint Marine Pollution Contingency Plan, from a National and Regional Perspective

2017· article· en· W2751509176 on OpenAlexaboutno aff
Larry Trigatti, Tanya Tamilio, Tim Gunter, Jerry Popiel

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsCoast guardNinthGeographyWest coastFisheryEnvironmental resource managementEnvironmental planningEnvironmental protectionBusinessPolitical scienceOceanographyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

The Canadian Coast Guard – United States Coast Guard(CANUS) Joint Marine Contingency Plan (JCP) underwent a major update in 2013and was renewed by both countries. This paper will review changes in the CANUS JCP from a national and regional perspective including the creation of a joint National JCP Committee and exercise program. Successful regional cooperation between the Ninth Coast Guard District and the Canadian Coast Guard Central and Arctic Region has led to recommendations for best practices to the National JCP Committee. The use of an International Coordinating Officer (ICO) position in the CANUS LAK, Great Lakes Region, of the JCP Annex has resulted in increased preparedness to respond to incidents. The ICO position was critical in the recent response of the M/V Argo. The regulatory frameworks of both countries have differences, especially authorities for spill response between the Canadian Coast Guard and the National Energy Board (NEB). These differences will be analyzed for future JCP updates.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.563

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 studies0.0010.000
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 head0.018
GPT teacher head0.240
Teacher spread0.222 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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