Everyday adaptation, interrupted agency and beyond: examining the interplay between formal and everyday climate change adaptations
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
Climate change is increasingly widespread and intense. In response, formal adaptation efforts are gaining momentum and financing globally, while those affected address felt changes through a variety of everyday adaptations, the aggregate daily practices articulated in response to ongoing social-ecological change. Our research examined the interplay between formal and everyday adaptations in practice. Specifically, we sought to shed light on the tendency emerging in adaptation literature of what we term interrupted agency, where formal adaptation interventions interrupt everyday adaptation strategies—and agency—of local actors, potentially leading to maladaptation. We did so in North Central Vietnam, where climate change is disrupting lives and livelihoods, and numerous formal and everyday adaptation measures are being implemented in response. We examined three key climate-affected sectors, agriculture, water management, and coastal management, drawing on existing literature as well as interviews and document and policy review. We found that differences in formal and everyday adaptations can indeed lead to interrupted agency yet, in some instances, also support complementarities and even transformative change. Such outcomes required dialogue and pluralistic input to adaptation-related policy, practice, and decision-making, underlining the importance of attention to participation, representation, and influence in decision-making in adaptation efforts. Our exploration of the concepts of everyday adaptation and interrupted agency illustrates that these can valuably contribute to adaptation literature, particularly on the politics of 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 | 0.002 | 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 | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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