Rights, justice and climate resilience: lessons from fieldwork in urban Southeast 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
Recent transformative resilience research calls for urban climate interventions that better meet the needs of low-income and other marginalized groups. Such initiatives, it is suggested, must move beyond technocratic and superficial solutions to address the systems and structures that create climate vulnerability. While these are important theoretical developments, there is still much to be learned about how to support transformative resilience on the ground. This paper situates transformative resilience theory in practice with lessons from a five-year research partnership in Southeast Asian cities. We argue that for resilience research to advance rights and justice, knowledge production and mobilization efforts must be conceptualized as active parts of the transformation process. Bringing together conceptual and methodological insights from resilience, political ecology and governance learning research, we offer three pathways for transformative resilience and present examples of how they can be operationalized in Southeast Asia and beyond.
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 | 0.000 | 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