Assessing health in an Alaska native cultural context: The Yup’ik Wellness Survey.
Bibliographic record
Abstract
OBJECTIVES: The development and validation of a wellness measure among the Yup'ik of the Yukon-Kuskokwim Delta in western Alaska is presented, with the overarching goal of supporting locally relevant health practices in this Alaska Native population. METHOD: A survey containing the wellness measure and several additional psychosocial variables was completed by 493 Yup'ik individuals from 7 different highly rural communities in western Alaska. Participants ranged in age from 14 to 94 (M = 38.55, SD = 17.14), and slightly more than half were female (58.62%). RESULTS: Individuals who scored higher on the wellness measure reported greater happiness, greater overall health, greater communal mastery, a larger and more satisfying social support network, and coping styles that were more likely to be active, accepting, and growth-oriented, and less likely to involve drugs and alcohol. CONCLUSIONS: This project advances research on the health implications of enculturation by specifying particular patterns of culturally sanctioned beliefs and behaviors that appear most beneficial.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".