Recovering yelloweye rockfish and bocaccio in the Salish Sea: a collaborative, long-term, multi-pronged approach
Bibliographic record
Abstract
Recovering yelloweye rockfish and bocaccio in the Salish Sea: a collaborative, long-term, multi-pronged approach Yelloweye rockfish and bocaccio occupying the Salish Sea have been listed under the U.S. Federal Endangered Species Act (ESA) since 2010, yelloweye as Threatened and bocaccio as Endangered. In 2017, NOAA Fisheries completed a recovery plan for both species, outlining critical data needs and collaborative policy actions to further recovery. In 2020, the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) assessed the inside waters (i.e., Salish Sea) population of yelloweye as Threatened, a change from the Special Concern status conferred in 2008. Here, I briefly describe several dedicated, collaborative field and laboratory studies on both sides of the international border since 2017; outline remaining data gaps and research opportunities; highlight creation of the Puget Sound Kelp Conservation and Recovery Plan as a tool for assessing rockfish habitat; and describe targeted outreach and engagement activities, including creation of a children’s book on rockfish biology and conservation. While environmental degradation from a suite of broad-scale forcing factors continues to threaten these species, systematic implementation of strategic recovery plans has bolstered understanding of species biology and ecological role, informing proactive management and stakeholder engagement. Continued, cooperative effort to fill information gaps and methodically address threats at both the species and ecosystem level is required to ensure recovery goals are met.
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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 | 0.032 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.005 | 0.017 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".