Health of the Salish Sea as measured using transboundary ecosystem indicators
Bibliographic record
Abstract
The Salish Sea ecosystem is a transboundary area of ecological, social, and economic significance shared by Canada and the United States. Accordingly, the United States Environmental Protection Agency and Environment Canada have committed to cross-border collaboration on Salish Sea issues. The transboundary ecosystem indicators project was established to support knowledge sharing and to identify common priorities for action. Mixed trends were observed among ecosystem indicators, reflecting the complexity of the system. Improvements were demonstrated among indicators of air quality, freshwater quality, and toxics in the food web. Declining trends were observed among indicators of marine water quality, marine species at risk, Chinook Salmon, and summer stream flow. Variable or neutral trends were observed among indicators of southern resident Killer Whale abundance, access to Shellfish beaches, and access to swimming beaches. While the indicators represent separate ecosystem components, including air, water, species condition, and human wellbeing, these indicators are interrelated through biophysical cycles. Methods and results of tracking transboundary ecosystem indicators are presented to facilitate the identification of primary drivers and pressures of observed trends, and responses that have had positive results on a site specific basis.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".