An Indicator Approach to Transboundary Characterizations of the Health of the Salish Sea Ecosystem
Bibliographic record
Abstract
Transboundary collaboration towards characterization of the health of the Salish Sea ecosystem is ongoing and conducted in a manner that both builds on previous work and provides opportunities for temporal trend evaluation. . In 1994, the British Columbia – Washington (BC-WA) Marine Science Panel of the Environmental Cooperation Council (ECC) prepared a report on status and future environmental quality trends in shared waters including the Strait of Georgia, Strait of Juan de Fuca and Puget Sound. This presentation revisits the outcomes of the report to set the stage for contrast and comparison among subsequent initiatives, including the Health of the Salish Sea indicator reports developed under the Environment Canada – US Environmental Protection Agency (EC-EPA) Statement of Cooperation (SOC) for the Salish Sea. Questions that the Panel was charged to answer would benefit from current characterizations of ecosystem health. An additional question to consider is whether ecosystem indicators are being used beyond depicting recent trends, and if so, where they are applied to anticipate future conditions and management needs. In 2000, USEPA and EC signed an SOC to facilitate cross-border understanding, dialogue, and collaboration on Salish Sea issues. From this partnership came the Transboundary Ecosystem Indicators project to track progress in managing the Salish Sea ecosystem, and to identify priorities for action. The project published reports in 2003, 2006 and 2013. Under the 2016 Action Plan for the SOC, the project team has been tasked with updating and expanding the current suite of indicators on the state of air, water, species and human wellbeing. Emphasis will be placed on developing leading diagnostic indicators to advance the utility of Salish Sea ecosystem health characterizations. This paper also will reflect on projections from the 1994 Marine Science Panel report, and present progress towards the 2016 Action Plan commitment for the Transboundary Ecosystem Indicators project.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.014 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".