Pacific Salmon: Ecology and Management of Western Alaska’s Populations
Bibliographic record
Abstract
Abstract.—This paper addresses broad demographic and economic characteristics of the Arctic-Yukon-Kuskokwim region (AYK) of Alaska. AYK human population growth has generally been moderate over time. Because out-migration regularly exceeds in-migration, especially in the villages, population growth is mainly a product of natality. We anticipate future population growth patterns will be similar. In terms of regional characteristics, the linguistically and geographically distinct populations of the AYK region are similar in that they all have active traditional cultures, a strong reliance on subsistence, and relatively high measures of income poverty. While commercial fishing income is not a large contributor to total regional income, it is an important component of income for households in proximity to commercial fish processors. Many commercial fishermen are also subsistence harvesters, and for many, commercial fishing income provides the means to purchase equipment and other inputs to subsistence activities. This paper examines the relationship between subsistence harvests, population growth, and commercial fishing using a simple least squares regression model. We found that earnings from Kuskokwim commercial salmon fisheries are positively correlated with subsistence harvests while earnings from other commercial fisheries reduce subsistence harvests for a set of lower Kuskokwim River communities. Separately, we found that population growth is not positively correlated with subsistence salmon harvests in the same communities.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| 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 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".