‘Power-sensitive design principles’ for climate change adaptation policy-making in South Asia
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
Despite the proliferation of power approaches to study climate change, there is little focus on how to deal with the negative effects of power in climate change adaptation (CCA) policy-making. CCA literature provides little insight into understandings of manifestations of power that can create negative effects, especially in the context of South Asia. This review answers the question: How can CCA policy actors deal with the negative effects of power during the policy-making process? We used a two-layered systematic literature review to identify various manifestations of power that are responsible for negative effects in CCA policy-making in South Asia and to determine power-sensitive design principles (PDPs) to address these manifestations of power. We conclude that although the four PDPs are no panacea for dealing with the negative manifestations of power, they are useful considerations when engaged in long-term CCA policy processes.
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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 | 0.001 |
| 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