Bibliographic record
Abstract
As part of the Oceans Protection Plan the Canadian Coast Guard will be undertaking several initiatives focused on continued improvement in our preparedness and response to marine emergencies. One aspect will see the establishment of new search and rescue lifeboat stations and a new CCG logistics depot in Port Hardy, BC that will include environmental response staff and equipment. Investments will be made in modernizing Coast Guard’s Environmental Response equipment including mobile command posts and communications equipment. Additionally, the Coast Guard will enhance the 24/7 emergency response capacity within the existing Regional Operations Centers supporting the Coast Guard’s capacity to better plan and coordinate effective response during an incident. Through the Oceans Protection Plan, the Government of Canada will increase its emergency towing capacity by: installing towing equipment on major Canadian Coast Guard vessels, engaging partners to complete a needs analysis study on emergency towing requirements on the west coast and leading to the leasing of offshore vessels capable of towing large ships in distress. Further, the Government of Canada will partner with Indigenous Nations through Indigenous Community Response Teams, Indigenous Coast Guard Auxiliary, Places of Refuge and Regional Response Planning This presentation will provide an overview of Canadian Coast Guard initiatives such as new lifeboat stations, enhanced 24/7 emergency response capacity, increasing emergency towing, and Indigenous Community Response Teams and the Canadian Coast Guard Auxiliary.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.075 | 0.008 |
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".