Fish, Invertebrate, and Marine Mammal Bycatch in a Central Canadian Commercial Fishery for Arctic Char
Bibliographic record
Abstract
Abstract Cambridge Bay, Nunavut, hosts Canada’s largest Arctic Char Salvelinus alpinus commercial fishery with waterbody-specific quotas managed under one Integrated Fisheries Management Plan that emphasizes ecosystem-based management and the need to understand bycatch in the fishery. Bycatch reporting in the fishery, however, remains deficient. In this study, we report on fish, invertebrate, and marine mammal bycatch recorded in logbooks from 2012-2018 at two commercial waterbodies fished using weirs (Halokvik, Jayko) and two fished using gillnets (Surrey, Ekalluk) in multiple Arctic char habitats (rivers, lakes, estuaries). Arctic Char not retained for commercial purposes (discards or those kept for subsistence) comprised the greatest amount of bycatch. Other bycatch included seven fish species(n = 633), one crab species (n = 5), and two seal species (n = 11). Weir fisheries had minimal non-target bycatch, with Halokvik reporting none and Jayko only one species. Gillnet fisheries exhibited the highest bycatch diversity, particularly at the Surrey estuarine fishery. Significant inter-annual variation in the amount of non-target bycatch was also observed at three of the four waterbodies. These findings offer insights for ecosystem-based management for this fishery, while providing a baseline for future monitoring.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".