A systems approach to resilience in the built environment: the case of Cuba
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
Through its capacity to evoke systemic adaptation before and after disasters, resilience has become a seductive theory in disaster management. Several studies have linked the concept with systems theory; however, they have been mostly based on theoretical models with limited empirical support. The study of the Cuban model of resilience sheds light on the variables that create systemic resilience in the built environment and its relations with the social and natural environments. Cuba is vulnerable to many types of hazard, yet the country's disaster management benefits from institutional, health and education systems that develop social capital, knowledge and other assets that support construction industry and housing development, systematic urban and regional planning, effective alerts, and evacuation plans. The Cuban political context is specific, but the study can nonetheless contribute to systemic improvements to the resilience of built environments in other contexts.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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