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Record W7133279387

Extending the Northern Cod (Gadus morhua) assessment model - part III : revisiting the Limit Reference Point

2025· other· en· W7133279387 on OpenAlexaboutno aff
Paul M. Regular

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMaximum sustainable yieldStock (firearms)HarmPoint (geometry)Point estimationLimit (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Under the Canadian Precautionary Approach (PA) to fisheries management, a Limit Reference Point (LRP) is defined as the stock status below which serious harm is occurring. Since 2010, the LRP for Northern cod has been defined as the average spawning stock biomass (SSB) from the 1980s as this was the last time medium levels of recruitment were observed. This definition has been formally revisited using the Beverton-Holt stock-recruitment relationship by calculating the level of SSB that produces 50% of maximum predicted recruitment. Potential maximum sustainable yield (MSY) based alternatives are also considered and the limitations of both recruitment-based and MSY-based reference points are discussed in this perspective piece. In short, the suitability of an MSY-based LRP is called into question for Northern cod as estimates are sensitive to changes in vital rates and fisheries selectivity, both of which have exhibited substantive changes through time since 1954. I suggest that estimates of MSY may be more suitable for the provision of tactical, ecosystem-informed advice. Ultimately, continued use of the recruitment-based LRP is recommended since it should be above the point at which recruitment rates are impaired and depensation or extirpation is a concern.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.940

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.264
Teacher spread0.247 · 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 designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada→French-language works237,207→