Bibliographic record
Abstract
Successful recovery of the Salish Sea requires collaboration between scientists (both biophysical and social) and policy/decision makers. Without this relationship we find ourselves with scientific research that is not relevant to decision making and decisions made without a strong scientific foundation, and without the support of the science community. While there is a great deal of good scientific work currently available to enhance ecosystem recovery decision-making, many of the questions that decision makers currently face require further investigation to address critical uncertainties, or at minimum, collection of data through environmental monitoring or social surveys to fill important gaps. However, it is critical that science does not impede early ecosystem-scale recovery actions; we do have sufficient knowledge to take action. In this panel session we will discuss the relationships between science and policy communities in ecosystem recovery efforts in the Salish Sea, including the science foundation for early action and the science and policy knowledge gaps for recovery at the scale of the Salish Sea. Panel members will include both US and Canadian professionals involved in the science and policy of ecosystem-based management for the Salish Sea. Panelists will consider and discuss such topics as:• An overview of Salish Sea status and trends and what they are really telling us and how should the status and trends influence policy and science• Examples of successes and challenges in science/policy collaboration. • Social constructs and behaviors needed for successful ecosystem recovery• Identified opportunities, specific approaches, and current challenges for science to more effectively inform policy decision-making. Panelists:Katharine Wellman –Moderator, Vice Chair Puget Sound Partnership Science Panel John Stein, Chair Puget Sound Partnership Science Panel Joel Baker, Puget Sound Institute, University of Washington Angela Bonifaci, US Environmental Protection Agency Tracy Collier, Puget Sound Partnership Thomas Leschine, School of Marine and Environmental Affairs, University of WashingtonIan Perry, Department of Fish and Oceans, Canada Terre Satterfield, University of British Columbia
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".