The Failure of Wild Salmon Management: Need for a Place-Based Conceptual Foundation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Salmon management has generally failed to rebuild depressed wild salmon populations or to manage many of them sustainably, despite a broad and growing scientific understanding of salmon ecology. We argue that to correct this failure, management policies and practices related to salmon need to become place-based. Key changes in management practices required to achieve place-based management include requiring that fishing occur closer to rivers of origin where particular populations can be identified with high precision, requiring that fishing gear be capable of releasing (with very low postrelease mortality) nontarget species and populations, and managing harvest to ensure that spawning escapements in most years exceed levels that would produce maximum sustainable yield. The scientific basis in support of place-based salmon management is clear, but implementing the required changes presents serious challenges that must be faced if the diversity and abundance of wild salmon are to be restored and if the world's wild salmon populations are to effectively cope with environmental changes imposed by climate change and continuing habitat degradation. Lessons from locations where management practices are based on a place-based conceptual foundation show how to successfully rebuild or maintain productive wild salmon populations.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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