CANADA – UNITED STATES (SALISH SEA) SPILL RESPONSE ORGANIZATIONS: A COMPARISON REVISITED
Bibliographic record
Abstract
Abstract number: 2017-102 The Salish Sea comprises the North American inland marine waters of Washington State and British Columbia; an international border between Canada and the United States intersects it. Planning for oil spills that threaten to cross the international border is under the jurisdiction of the Canadian Coast Guard (CCG) and the United States Coast Guard (USCG) as described in the Canada-United States Joint Marine Contingency Plan. As Canadian companies gain approval to construct new pipelines to move oil-sands-derived crude oil from the landlocked province of Alberta to the tidewater province of British Columbia, governments, agencies and citizens are publicly questioning whether current levels of oil spill preparedness and response equipment will be adequate for the increased tanker traffic from Canadian ports. These stakeholders may likewise be unaware of forthcoming spill prevention and response enhancements, by the Canadian government and industry, associated with new energy infrastructure projects. This paper will expand on a 2014 IOSC paper entitled CANADA – UNITED STATES (SALISH SEA) SPILL RESPONSE ORGANIZATIONS: A COMPARISON,1 which was a snapshot of regulations, actual inventories and philosophies that made up the 2014 response picture for the south Salish Sea shared between Canada and the United States. In order to see the entire picture, the reader is encouraged to have both documents at hand.2 The updated paper reviews changes to American Oil Spill Response Organization (OSRO) and Canadian Response organization (RO) equipment inventories, changes to the Canada Shipping Act 2001, Canada's new Oceans Protection Plan (OPP), United States newly implemented non-floating oil ORSO classification, Washington State's oil spill contingency plans and the future buildup of response equipment and personnel.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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 teacher head, 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".