Turning the Tide on Abandoned, Wrecked and Derelict Vessels in the Salish Sea
Bibliographic record
Abstract
Abandoned, wrecked and derelict vessels in the Salish Sea pose environmental contamination and safety risks. They are also visual eyesores. Untended vessels end up adrift, washed ashore, sunk, or broken apart, releasing fuel and other toxins into the marine environment. The debris and contaminants put marine life and sensitive habitats at risk, endanger mariners and beachgoers, cause harm to shoreline infrastructure, use valuable community resources, and impact the rights and traditions of indigenous peoples. The challenges are also compounded by conflicting jurisdictions between various levels of government dependent on the location, type and impact of the vessel, as well as barriers in recycling and disposing vessels that reach end of life, and limited funding. With aging fleets of commercial and recreational vessels in the Salish Sea, the number of abandoned, derelict and wrecked vessels (ADVs) has been steadily increasing. With recent policy and legislation changes, derelict removal programs, and prevention measures at the federal, state, and provincial levels, we are turning the tide on problem vessels in the Salish Sea. Panelists from Washington State, PwC Canada, the Government of Canada, and Homalco First Nation give updates on their efforts and progress made in removing and preventing ADVs. A panelist from the Pacific States - BC Oil Spill Task Force will also present their ADV Blue Ribbon Report outlining a model program for success in addressing ADVs for West Coast states. The panel will be moderated by the Coordinator of Georgia Strait Alliance’s Clean Marine BC clean boating and marina eco-certification program. We also encourage SSEC delegates to bring their experiences to the panel discussion.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".