Pacific Salmon: Ecology and Management of Western Alaska’s Populations
Bibliographic record
Abstract
Abstract.—Salmon Oncorhynchus spp. is a staple food for the Native villages of the Yukon and Kuskokwim drainages and Norton Sound in Alaska. The economy of the area is characterized by the high production of wild foods for local use and low-per-capita monetary incomes. Traditional subsistence activities form the core of village economies. Subsistence harvests, the priority use of salmon designated by state and federal law, have displayed variable trends, primarily linked to local environmental variables and the food needs of people and sled dogs. Commercial fishing of western Alaska salmon stocks intensified during the early 1970s through 1980s, providing income to small-scale fishers selling to export markets. During the 1990s, commercial salmon harvests collapsed resulting in substantial decreases of income to villages. In the Yukon River drainage, families have culled dog teams in response to lower subsistence salmon harvests for dog food, impacting cultural traditions involving sled dogs. Declines in subsistence salmon harvests for food may lead to increased harvests of other wild-food species or cause human out-migration from villages; however, no programs are currently in place to monitor such effects. A growing number of case studies have documented the important contributions of Traditional Ecological Knowledge to fishery research as well as to the formulation of fisheries regulations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 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 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".