Disseminating Research in Rural Yup’ik Communities: Challenges and Ethical Considerations in Moving from Discovery to Intervention Development in the Translational Pathway
Bibliographic record
Abstract
The native people of Alaska have experienced historical trauma and on-going rapid, often externally imposed changes in culture and lifestyle patterns. As a consequence, these populations shoulder a disproportionately high burden of psychological stress. Yup'ik communities in the Yukon Kuskokwim Delta region in Southwest Alaska have experienced epidemics and forced acculturation, contributing to behavioural health issues, including substance abuse and suicide. Cultural loss in Yup'ik communities has resulted in generational gaps that disrupt the transmission of cultural traditions and values important for well-being. Despite these intrusions, Yup'ik communities have retained cultural traditions which act as protective factors against the development of physical and psychological illness. These cultural protective factors can be harnessed to collaboratively develop culturally grounded interventions that reduce stress and build connections across generations, helping communities move towards wellness on their own terms.
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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 | 0.808 | 0.712 |
| Meta-epidemiology (narrow) | 0.001 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.015 | 0.035 |
| Scholarly communication | 0.029 | 0.020 |
| Open science | 0.011 | 0.037 |
| Research integrity | 0.021 | 0.025 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".