Framework review for the stock assessment of the Offshore Whelk (Buccinum undatum) in the 4Vs and 4W exploratory fishery
Bibliographic record
Abstract
Exploration for Offshore Whelk in Nova Scotia began in 2004 and exploratory licences were issued to Louisbourg Seafoods Ltd. in 2010 for 4Vs and 4W North Atlantic Fisheries Organization (NAFO) Divisions and to Premium Seafoods Ltd. for 4W in 2012. At the request of Fisheries and Oceans Canada (DFO) Maritimes Region Resource Management, a monitoring framework was developed for the exploratory Offshore Whelk fishery in 2020 to provide advice on future monitoring and research. In 2021–22, Science advice was requested for the completion of a stock assessment and the development of indicators and reference points to determine stock status of Offshore Whelk. Fishery dependent data from monitoring documents and industry-led detailed sampling were analysed to evaluate fishery trends, spatial distribution of the fishery, growth, maturity, prevalence of parasitism, and natural mortality. Based on these data a number of indicators were explored for monitoring the fishery using catch and length-based methods. Although several methods have been presented, catch-per-unit-effort (CPUE) was proposed as a proxy for biomass. Candidate limit reference points (LRPs) were estimated for all regularly fished areas (4W Middle Bank, 4Vs Area 1 and Area 2) based on a proxy for the unexploited biomass (B0), the maximum annual mean CPUE (kg/trap). Candidate LRPs were defined as 20% and 30% of the B0 proxy for all areas, although based on the risk of local depletion of Whelk, 30% was determined to be more appropriate as an LRP. Length-based indicators were recommended to use in addition to the catch-based indicator to monitor the number of juveniles in the catch but would require additional annual sampling of the length frequency of the catch. This Research Document was presented at the May 17–18, 2022, regional peer review meeting on Framework Review for Stock Assessment of Offshore Whelk in 4Vs and 4W.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.018 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".