Indigenous Governance is an Adaptive Climate Change Strategy
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
Since the 1960s, scientists have been aware that human activity has resulted in a warming climate. This reality has and will continue to result in changes to the way we live.The Arctic and Subarctic have held prominent places in discussions on climate change, in part because impacts here are so stark and clearly connected to the effects of changes in temperature. In popular discourse internationally, media narratives often focus on “charismatic megafauna”: polar bears starving, venturing into towns, disoriented, hungry, drowning.1 In Canada, Indigenous and ally activism on climate change make the link with food security, personal safety, and cultural survival, employing stories of Indigenous hunters no longer able to reliably read the signs of the land due to “strange weather.”2 Indigenous Peoples provide critical insights into how climate change results in immediate and important implications for humans.3 However, using Indigenous experiences as evidence for climate change is often where the conversation stops—it should instead be a starting point. The conversation needs to turn to how Indigenous Knowledge, cultures, and the ways of life grounding Indigenous decision-making authority are a viable, legitimate, sustainable, and adaptive climate change strategy. ...... continued
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 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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