Perceptions and Actions of Commercial Fishers in Response to Conservation Measures in Canadian Pacific Salmon Fisheries
Bibliographic record
Abstract
Abstract In Canadian Pacific salmon Oncorhynchus spp. commercial fisheries, a policy of selective fishing includes a mandatory release program intended to reduce impacts on vulnerable populations. However, there remain concerns of noncompliance with these regulations, potentially resulting in higher mortality of released fish than is accounted for. Though estimations of postrelease mortality have improved the management of commercial fisheries, the influence of fishers’ behavior is not directly considered by the regulatory framework. Additionally, perceptions of the selective fishing strategy have not been evaluated among fishers, despite knowledge that their acceptance of regulations is critical to successful management outcomes. We conducted 21 semistructured interviews with fishers from the commercial purse seine fleet for Pacific salmon about their perceptions of selective fishing, and found that attitudes towards regulations and managers are a primary determinant of compliance. We also found that greater incentives for selective fishing practices and improved communication among the fishing, management, and scientific communities would likely enhance support for management systems among members of the purse seine fleet.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".