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Record W7116697566 · doi:10.1139/cjfas-2025-0134

Reviewing 20 years of progress towards sustainable fisheries under Canada’s Wild Salmon Policy

2025· article· en· W7116697566 on OpenAlexaffvenueabout
William I. Atlas, Matthew R. Sloat, Greg Knox, Michael H. H. Price

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsChinook windFisheries managementOncorhynchusSustainabilityBiodiversityBiodiversity conservation

Abstract

fetched live from OpenAlex

The Wild Salmon Policy was adopted in 2005, to safeguard salmon biodiversity and provide sustainable benefits to Canadians. Over the last 20 years the WSP has made important contributions to conservation, but many gaps remain. We find that many Conservation Units (83%; 324/390) have not had status assessments, a key element of the WSP. Changes in fisheries targeting Skeena and Nass sockeye, and Interior Fraser River coho salmon have promoted recovery of some CUs, but failure to robustly implement WSP strategies for north and central coast chum and coho salmon populations creates conservation risks with potentially devastating consequences for fisheries and ecosystems. Most Chinook salmon CUs in British Columbia are unassessed (81%; 65/80), and two out of the 15 assessed CUs are considered healthy (green status zone). Despite these risks, changes in the management of mixed-stock Chinook fisheries have been inadequate for reversing declines. A renewed commitment to WSP implementation, and an increased focus on transitioning harvest out of high-risk mixed-stock fisheries can support improved outcomes for Pacific salmon in Canada.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.092
Threshold uncertainty score0.666

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.020
Science and technology studies0.0060.003
Scholarly communication0.0070.003
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.012
GPT teacher head0.228
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic Sciences→Same topicFish Ecology and Management Studies→French-language works237,207→