Indigenous-Led Nature-Based Solutions for the Climate Crisis: Insights from Canada
Bibliographic record
Abstract
This article provides an international and national overview of climate change and biodiversity frameworks and is focused on emerging evidence of Indigenous leadership and collaborations in Canada. After introducing the international context and describing the national policy landscape, we provide preliminary evidence documenting emerging national, regional, and local examples of Indigenous-led collaborative conservation projects and nature-based climate change solutions for the climate crisis. Based on our preliminary data, we suggest that Indigenous peoples and communities are well-positioned and currently have and will continue to play important roles in the protection, conservation management, and restoration of lands and waters in Canada and globally. These efforts are critical to the global mitigation, sequestration, and storage of greenhouse gases (GHGs) precipitating the climate crisis while also building adaptive resiliency to reduce impacts. Emerging Canadian evidence suggests that there are a diversity of co-benefits that Indigenous-led nature-based solutions to climate change and biodiversity protection bring, enabled by creating ethical space for reconciliation and conservation collaborations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.039 | 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) | 0.000 | 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".