Indigenous Values and Health Systems Stewardship in Circumpolar Countries
Bibliographic record
Abstract
Circumpolar regions, and the nations within which they reside, have recently gained international attention because of shared and pressing public policy issues such as climate change, resource development, endangered wildlife and sovereignty disputes. In a call for national and circumpolar action on shared areas of concern, the Arctic states health ministers recently met and signed a declaration that identified shared priorities for international cooperation. Among the areas for collaboration raised, the declaration highlighted the importance of enhancing intercultural understanding, promoting culturally appropriate health care delivery and strengthening circumpolar collaboration in culturally appropriate health care delivery. This paper responds to the opportunity for further study to fully understand indigenous values and contexts, and presents these as they may apply to a framework that will support international comparisons and systems improvements within circumpolar regions. We explored the value base of indigenous peoples and provide considerations on how these values might interface with national values, health systems values and value bases between indigenous nations particularly in the context of health system policy-making that is inevitably shared between indigenous communities and jurisdictional or federal governments. Through a mixed methods nominal consensus process, nine values were identified and described: humanity, cultural responsiveness, teaching, nourishment, community voice, kinship, respect, holism and empowerment.
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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 | 0.017 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".