Limited Demographic Effects One Decade After Implementation of a Harvest‐Slot Length Limit for Walleye (<i>Sander vitreus</i>) in the St. Lawrence River, Québec, Canada
Bibliographic record
Abstract
ABSTRACT Although the role of recreational harvest on size structure of declining fish populations is often unclear, bag and size limits are often implemented to prevent overharvest. Long‐term monitoring and periodic assessments of stock status then become necessary to evaluate their potential impacts. Based on a long‐term gillnet monitoring program in the St. Lawrence River, Québec, Canada, the effects of a 381–545 mm harvest‐slot length limit implemented in 2011 were evaluated on walleye ( Sander vitreus ). Mixed‐effects models revealed continued declines in the abundance of large walleyes, size distribution, total annual mortality, and female growth, condition, and size‐at‐maturity. Expected impacts were mostly not achieved, potentially because of environmental and trophic interaction changes in the St. Lawrence River, in addition to increasing fishing pressure. Our results highlight a need to reassess current walleye fisheries management strategies.
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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".