Elevating Indigenous Guardianship, Youth Perspectives and Community Values within Natural Climate Solutions: A Collaboration with Wahkohtowin Development
Bibliographic record
Abstract
In recent years, increasing attention has been directed to “natural climate solutions” (NCS) to mitigate climate change through the protection, restoration and improved management of carbon-storing ecosystems. In practice, Indigenous Peoples have been implementing NCS for millennia through sustainable land stewardship. As Indigenous communities in Canada (re)assert traditional stewardship roles through Indigenous Guardians programs, the question arises: what opportunities could NCS enable, including and beyond carbon sequestration, if rooted in Indigenous guardianship? Collaborative research with Wahkohtowin Development GP Inc. explored the alignment of NCS, Indigenous Guardians, and community values and priorities through an initiative that supported youth empowerment and awareness-raising. The research highlighted that – while support for Indigenous-led NCS is, first and foremost, critical from a rights perspective – Indigenous Guardians are well-placed to advance a holistic approach to NCS toward multifaceted aims for climate change mitigation, biodiversity, cultural revitalization, economic development, youth empowerment, and reconciliation, among other possibilities.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".