25 years of collaboration: the Pacific States/British Columbia Oil Spill Task Force 1989–2014
Bibliographic record
Abstract
ABSTRACT Two significant west coast spill incidents, the barge Nestucca spill in B.C. in 1988 and the tanker Exxon Valdez spill of 1989 catalyzed the formal creation of the Pacific States/British Columbia Oil Spill Task Force, a union of Alaska, California, Oregon, Washington and British Columbia. Hawaii joined 12 years later and for the past 25 years the Task Force member organizations have collaborated on numerous projects and policy initiatives that have significantly influenced how the west coast prevents, prepares for and responds to oil spills. This paper will: 1) Provide an overview of how the Task Force functions and how it fosters collaboration between industry, agencies, and other stakeholders in the region; 2) Highlight key projects and accomplishments from the past two decades, including Transboundary coordination, vessel traffic risk studies, mutual aid agreements, and federal regulatory oversight; and how these projects were initiated and carried out; 3) Offer examples of how the Task Force is looking at challenges ahead, such as the shifting landscape of energy transportation and emerging fuels in the region, and what this means for spill prevention and response.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".