An Indigenous perspective on climate engineering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Indigenous Peoples remain uniquely exposed to the threat of anthropogenic climate change, thereby requiring the research community to collaboratively explore (alongside Indigenous organizations and individuals) new approaches to climate risk mitigation. This Perspective assesses one aspect of climate risk mitigation - climate engineering, an umbrella term which we use to encompass emergent negative emissions technologies (like direct air capture) and research into the spectrum of solar radiation management techniques. In this co-produced contribution from both Indigenous and non-Indigenous collaborators, we situate the research within our community-based Indigenous histories. We then outline the nature of Indigenous climate risk as context for arguing that flawed existing attempts to simplistically assess the nexus of Indigeneity and climate risk management (which can prescriptively provide a universal “Indigenous perspective” across a structurally fragmented, highly complex landscape of Indigeneity) need to be abandoned. We propose methodological and engagement ideas for researchers in this space to consider. Of note, the applied focus of this paper concludes with “next steps” direction based on existing models observed within our fifty years of combined experience at the nexus of Indigeneity and community development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it