The Implications of Successful Fisheries Management: A Decade of Experience With The Upper Grand River Tailwater Fishery
Bibliographic record
Abstract
Managers of recreational fisheries have traditionally focused on biophysical factors related to the provision and maintenance of fish stocks. However, human dimensions and community development are equally important considerations. This paper highlights the angling experiences, economic impacts, and community development associated with the creation of a brown trout fishery in the upper section of the Grand River in Ontario, Canada. Results are presented from a series of four surveys conducted on this reach of river over the past decade. Findings build upon traditional measures of success and encompass other factors linked to the fishery. Considering these often unintended implications from successful fisheries management makes clear the importance of broadening fishery considerations beyond biophysical elements. The study highlights the potential for developing nature-based recreation amenities as a strategy for broadening the economic development base in rural communities and an ongoing need for fisheries managers to work with members of the community. Keywords: human dimensions of fisheries management, economic impacts, rural economic development, community development, Grand River, Canada
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".