Historical foundations and contemporary expressions of a right to health care in Circumpolar Indigenous contexts
Bibliographic record
Abstract
Although numerous comparative Indigenous health policy analyses exist in the literature, to date, little attention has been paid to comparative analyses of Circumpolar health policy and the impact these policies may have on Indigenous peoples’ rights to health. In this article, we ground our discussion of Indigenous peoples’ right to access culturally appropriate and responsive health care within the context of the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP). Under UNDRIP, signatory states are obligated to guarantee that Indigenous peoples have access to the same services accessible to all citizens without discrimination. Signatory states must also guarantee access to services that are grounded in Indigenous cultures, medicines, and practices and must address Indigenous peoples’ determinants of health at least to the same extent as their national counterparts. Our analysis finds that the implementation of this declaration varies across the Circumpolar north. The United States recognizes an obligation to provide health care for American Indian and Alaska Native people in exchange for the land that was taken from them. Other countries provide Indigenous citizens access to care in the same health care systems as other citizens. Intercultural models of care exist in Alaska and to some extent across the Canadian territories. However, aside from Sámi Norwegian National Advisory Unit on Mental Health and Substance Use in northern Norway, intercultural models are absent in Nordic countries and in Greenland. While Russia has not ratified UNDRIP, Russian policy guarantees access to health care to all citizens, although access is particularly limited in rural and remote environments, including the Russian Arctic. We conclude that Circumpolar nations should begin and/or expand commitments to culturally appropriate, self-determined, access to health care in Circumpolar contexts to reduce health inequities and adhere to obligations outlined in UNDRIP.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.051 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".