Salmon and the Salish Sea: A Transboundary Approach to Salmon Recovery
Bibliographic record
Abstract
The Salish Sea is the inland sea that encompasses the Strait of Georgia, Puget Sound, the San Juan Islands and the Gulf Islands.The area spans from Olympia, Washington (WA) in the south to Campbell River, British Columbia (BC) in the north, and includes the cities of Seattle and Vancouver.It is one of the world's largest inland seas, with a total sea surface area of 16,935 km 2 and a maximum depth of 650 m.There are 419 islands within the Salish Sea, and it is home to over 8 million people, as well as orcas (Orcinus orca), Steller sea lions (Eumetopias jubatus), harbor seals (Phoca vitulina), humpback whales (Megaptera novaeangliae), Pacific salmon (Oncorhynchus spp.), and hundreds of other fish species, including forage fish species such as Pacific herring (Clupea pallasii) and Pacific sand lance (Ammodytes hexapterus).This rich ecosystem is estimated to support 37 species of mammals, 172 species of birds, 253 species of fish and more than 3,000 species of invertebrates (Gaydos and Pearson 2011).The Salish Sea is an important nursery area for all species of Pacific salmon: sockeye (Oncorhynchus nerka), pink (O.gorbuscha), chum (O.keta), coho (O.kisutch) and Chinook (O.tshawytscha), as well as steelhead trout (O.mykiss).They are all anadromous, spending time in freshwater systems, estuaries and the open ocean.Adults lay their eggs in redds, or nests that the females create in depressions in river gravel.The eggs remain in the This text is taken from Salish Archipelago: Environment and Society in the Islands Within and Adjacent to the Salish Sea,
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".