Indigenous Elders' voices on health-systems change informed by planetary health: a qualitative and relational systems mapping inquiry
Bibliographic record
Abstract
Indigenous Peoples and their knowledge systems are increasingly being looked to for solutions regarding climate change, including within clinical health-care settings. Indigenous Elders specifically are noted knowledge keepers within their communities and are often looked to with great respect for their Land-based knowledges as they pertain to planetary health approaches. We sought to explore the views of health-systems change informed by planetary health within the circumpolar north from the perspective of Indigenous Elders. We held a sharing circle, in which Elders identified four interconnected themes following a cyclical pattern that were also depicted with relational systems mapping, including the past and how we got here, where we are now, where we need to go in the future, and our reflections. Our findings showed that any concepts related to planetary health that are discussed within health systems cannot be disconnected from the context around them. Overall, health systems were stated to be currently devoid of any environmental context or consideration.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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".