From Resilient to Thriving: Policy Recommendations to Support Health and Well-being in the Arctic
Bibliographic record
Abstract
In 2018 – 19, eight Indigenous and non-Indigenous individuals from Canada, Greenland/Denmark, Sweden, and Alaska/United States came together to address research questions relevant to Arctic nations’ shared challenges and opportunities. Our work incorporated critical, community-based perspectives on Arctic health and well-being and promoted strengths-based approaches developed in partnership with Arctic communities. In this article we describe the group’s 16 action-oriented policy recommendations to support health and well-being in the Arctic in four thematic areas: 1) acknowledge and integrate Indigenous rights and knowledges, 2) implement meaningful action to address Indigenous determinants of health, 3) expand health-oriented monitoring and assessment programs, and 4) implement community-led, critical research approaches that focus on partnerships, reciprocity, adherence to ethical guidelines, and funding community-based research. Our recommendations are actionable guidelines for policy and research aimed at reducing inequities, supporting Indigenous expertise and existing knowledge, and promoting thriving communities in the Arctic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".