MétaCan
Menu
Back to cohort
Record W7133274899

The Status of Northern Gulf of St. Lawrence (3Pn, 4RS) Atlantic cod (Gadus morhua) Stock in 2024

2025· other· en· W7133274899 on OpenAlexaboutno aff
Jordan Ouellette-Plante, Hugues P.‏ Benoît, Jean-François. Lussier

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
KeywordsFishingStock (firearms)Stock assessmentCensusNorth sea
DOInot available

Abstract

fetched live from OpenAlex

The Atlantic cod stock in the northern Gulf of St. Lawrence (NAFO Subdivision 3Pn and Divisions 4R and 4S) has been fished for centuries, and has been managed using a total allowable catch since 1977. Following a sharp increase in fishing mortality beginning in the late 1980s, accompanied by an increase in natural mortality, the stock collapsed and was placed under moratorium from 1994-1996. Although some recovery occurred during this period, the stock has fluctuated at a low level of abundance since then, despite relatively low fishing mortality, including a moratorium in 2003 and a closure of the directed commercial fishery for the 2022-2023 season. A new model developed during the review of the northern Gulf of St. Lawrence cod assessment framework that took place in 2021 and 2022 was used for the first time for this assessment. This document describes the data and methods employed to assess a number of indicators later used in the assessment model as inputs. Fishing mortality, for which the estimate is based on reported or inferred catches, was low in 2021 and even lower in 2022, specifically at the lowest level since the 2003 moratorium. However, natural mortality has been at high levels for at least a decade and it is likely that part of this natural mortality is in fact made up of unaccounted fishing mortality. In 2022, cod condition was particularly poor, especially in Division 4S, and at levels where increased natural mortality has been observed in the past. The cohort born in 2018, which has been observed annually in the Fisheries and Oceans Canada annual survey since 2019, appears to be the most abundant since the early 1990s. The prospects for this cohort will depend on the mortality it experiences in the coming years. A precautionary approach limit reference point (LRP), based on long-term stock trends in stock spawning biomass (SSB), was adopted at a value of 71,970 t. Other reference points using the same framework as the LRP were proposed, including the upper stock reference point (USR, 143,939 t) and the target reference point (TRP, 179,924 t). The stock has been in the critical zone since 1991, and the SSB estimate for 2022 (42,906 t) corresponded to 60% of the LRP. An examination of stock productivity revealed that the stock had surplus production for the majority of years since 1995 and would likely have grown in the absence of commercial and recreational fisheries. A brief review of other factors that may have affected the productivity of this stock identified some that may have been relevant, to a degree and in some years, but did not conclusively identify the principal drivers of the high natural mortality that is largely preventing recovery.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.008
GPT teacher head0.238
Teacher spread0.230 · 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 designObservational
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

Explore more

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