Yukon River Inseason Salmon Harvest Interviews, 2003
Bibliographic record
Abstract
Standardized collection and reporting of subsistence salmon harvest information during the fishing season is an important management tool for Yukon River fishery managers. The 2003 salmon fishing season marked the second season of an organized effort to collect qualitative inseason subsistence harvest information. Information gauging progress towards subsistence salmon harvest goals, subsistence fishing characteristics, and quality of subsistence catch were collected. Progress towards meeting subsistence harvest goals was evaluated by using local village interviewers contacting a subsample of fishermen each week. Residents of Emmonak, Holy Cross, Nulato, Huslia, Galena, and Circle were interviewed weekly between June 1 and August 31, 2003. Sixty-three households were interviewed regarding Chinook salmon harvests and seventeen households were interviewed regarding chum salmon harvest progression. Information was reported on fourteen weekly public teleconferences and used in nine Federal inseason management summaries. In general, inseason interview data indicated that most interviewed households met or nearly met their subsistence Chinook and chum salmon goals for the 2003 season and that the 2003 fishing season appeared better as compared to the 2002 fishing season.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".