Toward Indigenous visions of nature-based solutions: an exploration into Canadian federal climate policy
Bibliographic record
Abstract
Political traction for nature-based solutions is rapidly growing as governments recognize their role in addressing the simultaneous climate and biodiversity crises. While there has been recognition of the role of Indigenous Peoples in nature-based solutions, there has also been limited academic review on their relationship. This paper explores how the Government of Canada’s conceptualization of nature-based solutions either support or prevent Indigenous sustainable self-determination. Drawing on past policy frameworks, we construct a novel four-dimensional sustainable self-determination policy lens focused on: Indigenous knowledge systems; Indigenous jurisdiction over land; the full and effective participation of Indigenous Peoples; and Indigenous Peoples as rights-holders to review a total of nine federal climate policy, planning, and science documents. Our analysis shows that while there is growing recognition of Indigenous rights, inclusion of Indigenous knowledge, and commitments to include the participation of Indigenous Peoples in the implementation of certain climate activities, there is a clear unwillingness to recognize Indigenous jurisdiction and Indigenous understandings of land as systems of reciprocal relations. Reframing nature-based solutions in the context of Canadian and international climate policy is essential not only to advance the self-determination of Indigenous Peoples, but also to create the ceremonial ground for Indigenous visions of nature-based solutions in order to address these joint crises. Key policy insightsDespite a growing recognition of the role of nature-based solutions in climate policy, there is limited discussion of how current framings support or prevent Indigenous self-determination.Without such consideration, and the appropriate protection and recognition of Indigenous rights and jurisdiction, nature-based solutions risk perpetuating a form of climate colonialism that facilitates further violence and land dispossession against Indigenous Peoples.Framings of nature-based solutions could benefit from Indigenous ontologies to reframe discussions on the reciprocal connection between humans and nature, advancing a relational framework of nature-based solutions.A novel sustainable self-determination policy lens may assist Parties consider how, and in what capacity, they are considering the rights of Indigenous Peoples, as required by the Paris Agreement and the United Nations Declaration on the Rights of Indigenous Peoples.
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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 | 0.016 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.036 | 0.014 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".