Science Response : Stock Status Update for West Coast of Newfoundland (4R) Herring
Bibliographic record
Abstract
The stock assessment of Atlantic herring (Clupea harengus) of the west coast of Newfoundland (NAFO Division 4R) is conducted every two years, with the most recent assessment completed in March 2022 (DFO 2022). The next full assessment of this stock, scheduled for March 2024, has been cancelled to allow the review of the assessment framework. The first part of the review took place on April 4-5, 2023, and focused on the data and indices available from a tagging study, the commercial fishery, and acoustic surveys. These inputs will contribute to the renewed assessment framework. The second part of the review, which will take place during 2024-25, will aim at establishing a new assessment model and limit reference points consistent with Fisheries and Oceans Canada’s (DFO) precautionary approach (DFO 2009). The next full stock assessment will be conducted in 2025-2026. DFO’s Fisheries Management Branch requested that the Science Branch provides a status update of the west coast of Newfoundland herring stocks and recommend harvest advice for the 2024 and 2025 fishing seasons. The purpose of this Science Response is to update the main status indicators of the 4R herring stocks up to the end of 2022, to estimate the current size at 50% maturity (L50), and to provide recommendations on harvest levels for the 2024 and 2025 fishing seasons based on the available data. This Science Response Report results from the regional peer review of January 11, 2024 on the Stock Status Update of West Coast of Newfoundland (NAFO Division 4R) Herring for the 2024 and 2025 Fishing Seasons.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.010 |
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".