Carbon markets: a new form of colonialism for Indigenous Peoples?
Bibliographic record
Abstract
The interconnected and compounding climate change and biodiversity crises have led to increased urgency in moving towards transformational change within how national and international sustainability efforts are viewed and operationalised. Despite the known benefit of carbon markets as part of these sustainability efforts, there has been increasing scrutiny of carbon market mechanisms, with warranted distrust present at the community level. Indigenous Peoples are key stewards of biodiverse landscapes, yet their exclusion within carbon market decision making is ongoing. With this exclusion, outstanding questions remain on the placement of Indigenous Peoples within current carbon market design and decision making and their roles have yet to be fully appreciated in wider policy and practice. Platformed on substantial inequities, marginalisation, and racism, we therefore query in this Personal View, are carbon markets a new form of colonialism? We further reflect on the challenges and the potential opportunities of carbon markets for Indigenous Peoples and anchor our reflections with examples from different regions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".