One health in the circumpolar North
Bibliographic record
Abstract
The North faces significant health disparities, especially among its many Indigenous peoples. In this article we discuss historical, environmental, and cultural variables that contribute to these disparities and propose a One Health approach to address them in a holistic and culturally appropriate manner. The One Health paradigm recognizes the interdependence among the health and well-being of people, animals and the environment. As such, the framework aligns well with many Indigenous world views. This proactive, interdisciplinary, constructivist, and collaborative approach promise earlier detection of risks and threats, as well as more effective responses, in part by engaging community level stakeholders in all stages of the process. In the far North, humans, especially Indigenous peoples, continue to live closely connected to their environment, in settings that exert significant impacts on health. In recent decades, rapid warming and elevated contaminant levels have heightened environmental risks and increased uncertainty, both of which threaten individual and community health and well-being. Under these circumstances especially, One Health's comprehensive approach may provide mitigating and adaptive strategies to enhance resilience. While many of the examples used in this manuscript focus on Alaska and Canada, the authors believe similar conditions exist among the indigenous and rural residents across the entire Circumpolar North.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".