Guidance for Setting Reference Points for the Sea Cucumber (Cucumaria frondosa) Fishery in the Maritimes Region, and Status of the Southwest New Brunswick Sea Cucumber Fishery in 2019
Bibliographic record
Abstract
Commercial harvesting of Sea Cucumbers in the Maritimes Region, specifically Cucumaria frondosa, has occurred since 1999. Current stock status indicators are based on fishery dependent information including catch rates and port sampled split weight, as fishery independent information is lacking. Indicators are presented for all fishing zones and areas that are regularly fished, including Southwest New Brunswick (SWNB) Zone 1, 4W Offshore Zones 1 and 2, 4W Mid-shore Zone F, and 4Vs offshore Area of Access 2 (AOA 2). Catch rates for all areas are presented in kg/m2, and an additional catch rate indicator, kg/hr*m, is also presented for SWNB Zone 1. Limit Reference Points (LRPs) were established for all areas based on their highest mean catch rates (kg/m2), a proxy for virgin biomass (B0). The LRPs were set as 20% of the B0 proxy for all areas, with the exception of SWNB Zone 1 which was set as 30% of the B0 proxy for the kg/hr*m catch rate indicator. The LRP for SWNB Zone 1 is more precautionary due to the risk associated with fishing all known available habitat and consistently declining catch rates since the beginning of the fishery. An assessment of the SWNB Sea Cucumber population was conducted based on current stock status indicators (catch rates and split weights). Both catch rate (kg/m2 and kg/hr*m) and size-based indicators have been declining since the beginning of the fishery. The fishery does not currently provide the necessary data for a detailed assessment that would evaluate the impacts of the fishery on the SWNB Sea Cucumber stock. Broad guidance for establishing spatial reserves was also discussed and it was recommended, that for a data-limited fishery like this one, at least 30% of expected Sea Cucumber habitat be set aside from fishing.
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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 | 0.016 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.009 |
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".