Bibliographic record
Abstract
The Salish Sea is a hub of interconnectivity. It is a key link for international trade between North America and Asia, home to approximately 11.5 million people and two large cosmopolitan urban centres, and connects climates regimes ranging from temperate rainforest to cool Mediterranean. The Salish Sea is also a nexus for political and ecological frontiers. It is divided by the Canada-USA border and is an ecological transition zone connecting the Alaskan and Californian Current ecosystems. Climate change will affect this region via its influence on watersheds, coastal microclimates, and marine ecosystems. These effects can have potentially serious consequences for quality of life, the economy, native species and important ecological processes. Projected climate changes and impacts are as varied as the stakeholders and interests within this region. That these all come together in one place makes the Salish Sea an ideal mixing zone for cooperative adaptation and resilience planning. This presentation will review the current state of knowledge for climate changes and impacts in this trans-ecological, trans-political region and help set the stage for discussions about how we may adapt.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".