Creating the Conditions for Climate Resilience: A Community-Based Approach in Canumay East, Philippines
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
People who reside in informal settlements in the Global South are most vulnerable to extreme weather events and their consequences, such as flooding, landslides, and fires. Those located in coastal areas face severe challenges from seasonal and typhoon-induced flooding. Research shows that uncertain land rights exacerbate community vulnerability because residents are under constant threat of eviction by private sector actors or the state. Individual and community upgrading is rarely possible in such a situation. This article focuses on the efforts to secure tenure and upgrade their community by the residents of Sitio Libis, located in Canumay East, City of Valenzuela, Philippines. The study demonstrates that while community-based approaches require skills and capacities of community members, enabling conditions created by government and/or NGOs are required for transformational outcomes. While the people of Sitio Libis did not conceptualize their efforts in terms of climate change adaptation, their success suggests the possibility for smart partnerships among state-civil society/private sector actors to emerge in support of small-scale climate action.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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