Commentary - The Climate Change and Health Adaptation Program: Indigenous Climate Leaders’ Championing Adaptation Efforts
Bibliographic record
Abstract
The Climate Change and Health Adaptation Program (CCHAP) is a program within the First Nations Inuit Health Branch of Indigenous Services Canada (which was previously under the responsibility of Health Canada). The CCHAP supports Inuit and First Nation communities in mitigating and adapting to the health impacts of climate change. The impacts of climate change on Indigenous health can be observed in multiple areas including, but not limited to, food security, cultural medicines, mental health and landbased practices. This program seeks to address the needs of climate change and health in First Nation and Inuit communities to support resiliency and adaptation to a changing climate both now and in the future through its emphasis on youth and capacity building. The commentary is based on the Program's eleven years of experience working with and for Indigenous communities and provides an overview of the CCHAP model and the work it has and continues to support. This paper demonstrates three examples of community-based projects to mitigate and adapt to the health impacts of climate change to demonstrate climate change resiliency within Indigenous communities.
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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 | 0.011 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.041 | 0.033 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".