An Inventory of Policy Actors and Instruments Relevant to the Salish Sea
Bibliographic record
Abstract
The Salish Sea Governance Study is a baseline inventory, designed to identify and categorize the variety of actors and instruments that bear on the maintenance and revitalization of the Salish Sea. Both sides of the border have regulations and actors working to mitigate the multitude of stressors adversely impacting the health of the Salish Sea and to preserve and restore the system. These include governmental entities at varying scales; indigenous communities working individually or integrating efforts; and non-state actors working within non-governmental organizations and NGO-networks. Formal and informal mechanisms bring these different actors together. Such interaction crosses multiple levels and orders of government and non-governmental civil society. This creates a complicated and, at times, fragmented approach to governance. This study aims to provide more clarity by creating a resource tool to improve awareness of the different governance systems (e.g. laws and policies and policy actors) affecting the Salish Sea in both the United States and Canada.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".