Integrating local hybrid knowledge and state support for climate change adaptation in the Asian Highlands
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
New hybrid forms of climate change adaptation combining local and nonlocal/scientific knowledge are emerging across the Asian Highlands region. Yet, while local adaptive capacity can be based on place-based knowledge that governments often lack, communities still need assistance from states to better adjust to climate change and socioeconomic impacts. Using a regional literature review, we evaluate the role of evolving hybrid forms of adaptive knowledge for coping with environmental and social change. The literature is clear that appreciating local knowledge is not enough; enfranchising people with representative decision-making and resource rights and responsibilities is also required so that people can employ that knowledge toward climate adaptation. Into the future, Asian Highland climate change actions must include more targeted state support for locally evolving hybrid knowledge, behaviors and institutions.
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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 | 0.000 | 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 it