Local Stakeholders Understand Recreational Fisheries as Social-Ecological Systems but Do Not View Governance Systems as Influential for System Dynamics
Why this work is in the frame
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Bibliographic record
Abstract
Recognition that there are often social and ecological components to problems that arise from management of shared resources has led to a dominant paradigm among academics that natural resource management should consider coupled social-ecological systems. For academic theory to have real-world impact it must be understood and acted upon by stakeholders at a local scale. However, it is unclear if stakeholders view their systems as coupled social-ecological systems. We interviewed key stakeholders in an inland recreational fishery to solicit their mental models of system dynamics in the context of Ostrom‘s Social-Ecological Systems Framework (SESF). We found that stakeholders in aggregate considered all components of the SESF (actors, resource systems, environmental settings, and governance systems) in their view of recreational fisheries. However, researchers viewed governance system and environmental setting components as less diverse than actor and resource system components, while anglers and managers viewed the actor component as more diverse than all other components. In addition, all stakeholders viewed governance system and environmental setting components as less influential than actor and resource system components. Given strong empirical evidence of positive relationships between the number and diversity of governance system attributes and successful fisheries outcomes, our results suggest that governance systems that prevent free riding, enforce rules through graduated sanctions, and address large scale problems at the local scale through nested institutions could improve social-ecological outcomes in inland recreational fisheries.
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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 | 0.000 | 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) | 0.001 | 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 it