Increased Indigenous Participation in Environmental Decision-Making: A Policy Analysis for the Improvement of Indigenous Health
Bibliographic record
Abstract
Improving the physical environment and Indigenous participation in environmental decision-making is inherently related to the improvement of health among Indigenous Peoples. Improving the state of the physical environment necessitates increased involvement by Indigenous communities in decision-making and policy development. This involvement must integrate local traditional knowledge (TK) as an important tool in the decolonization of environmental decision-making, and a necessary step towards the improvement of Indigenous health. With a focus on the physical environment as a social determinant of Indigenous health, this article highlights the need for increased Indigenous participation in the decision-making process on environmental issues and proposes a framework to accomplish this outcome. Indigenous-centred policy frameworks should include the following five key principles: (a) the recognition of Indigenous knowledge, (b) the recognition of the inherent right to self-determination, (c) the use of an inclusive and integrative knowledge system, (d) the use of community-based participatory approaches, and (e) the use of circular and holistic viewpoints.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".