Alaska Native Elders’ perspectives on dietary patterns in rural, remote communities
Bibliographic record
Abstract
BACKGROUND: Given the increasing rates of childhood obesity in Alaska Native children and the understanding that the most effective interventions are informed by and reflect the cultural knowledge of the community in which they are implemented, this project sought to gather the wisdom of local Yup'ik and Cup'ik Elders in the Yukon-Kuskokwim region of Alaska around how to maintain a healthy diet and active lifestyle. METHODS: Perspectives were sought through the use of semi-structured focus groups, which were completed in person in twelve communities. All conversations were recorded, translated, transcribed, and analyzed using a qualitative approach, where key themes were identified. RESULTS: Elders provided a clear and consistent recollection of what their life looked like when they were young and expressed their perspectives related to maintaining a healthy and traditional lifestyle. The key themes the Elders discussed included an emphasis on the nutritional and cultural benefits of traditional foods; concerns around changing dietary patterns such as the consumption of processed foods and sugar sweetened beverages; and concerns on the time and use of screens. Elders also expressed a desire to help younger generations learn traditional subsistence practices. CONCLUSIONS: The risk of obesity in Alaska Native children is high and intervention efforts should be grounded in local knowledge and values. The perspectives from Yup'ik and Cup'ik Elders in the Yukon-Kuskokwim Delta area of Alaska provide a better understanding on local views of how to maintain a healthy diet, physical activities, and traditional values.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".