Science response : update of stock status indicators for Quebec north shore (4S) herring in 2022
Bibliographic record
Abstract
The Fisheries and Aquaculture Management Branch requested scientific advice on the Quebec North Shore (NAFO Division 4S) herring stocks for the 2023 and 2024 fishing seasons. However, the assessment of these stocks, initially scheduled for March 2023, was cancelled to allow for a review of the assessment framework for northern Gulf of St. Lawrence (Divisions 4R and 4S) herring stocks in April 2023. At this meeting, the definition of the assessment unit was reviewed (inclusion of 4Sw with 4R), and the available data for the establishment of a new assessment model were reviewed. In order to determine whether there had been any changes in the status of the resource that would require adjustments to the management plan for the 2023 and 2024 fishing seasons, the primary status indicators for the two herring spawning stocks in Division 4S were updated in 2022. The next full assessment is scheduled for March 2025. This Science Response Report results from the regional peer review of February 27, 2023 on the Update of stock status indicators for Quebec North Shore (Division 4S) herring in 2022.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.024 |
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".