Propagated Fish in Resource Management
Bibliographic record
Abstract
Abstract.—Of the many technologies used by the Canadian Salmonid Enhancement Program (SEP, established in 1979), hatcheries have been a major tool used to increase the freshwater survival of selected wild, native stocks of coho salmon Oncorhynchus kisutch, Chinook salmon O. tshawytscha, and chum salmon O. keta, both to address conservation concerns and to provide fishing opportunities. Salmonid Enhancement Program hatcheries have contributed substantially to the fisheries for coho and chum salmon, and less so to the fisheries for Chinook salmon. Although hatcheries have successfully provided high survival environments in freshwater, once released, artificially propagated fish are subject to the same environmental constraints and high mortality rates as are naturally propagated fish. Wild fish from both these components of coho and Chinook salmon stocks encountered substantially lower marine survival in the 1990s compared to the 1980s. Salmonid Enhancement Program tag studies show that marine survivals of hatchery salmon stocks have also been extremely variable, in spite of fairly consistent smolt release strategies. The approach taken by SEP to fully integrate hatchery and naturally produced components of endemic wild stocks of Pacific salmon, in conjunction with improvements in habitat and harvest management, should maximize long-term stock viability in Canada.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.059 | 0.006 |
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".