No room to manoeuvre: bringing together political ecology and resilience to understand community-based adaptation decision making
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
While community-led adaptation is an increasingly important subject in both academic and development circles, the politics behind adaptation decision making receives less attention. Specifically, an absence of adaptive actions is often understood as maladaptation. This study shows how incorporating lessons from political ecology such as an analysis of historically produced socio-political structures can add value to a resilience perspective by making clearer the contextual forces that shape adaptation decision making. Using the case study of urban farming in Phnom Penh, the political reality behind adaptation decision making is explored to reveal that the decision not to adapt may be a rational response to avoid risk in a situation of significant power imbalances. This understanding is important to inform the kind of policy measures and development interventions that are appropriate to support community-led adaptation.
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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 | 0.000 | 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