Role of Governance in Developing Disaster Resiliency and Its Impact on Economic Sustainability
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
This study explores the role played by governance in developing disaster resiliency and its impact on economic sustainability in Greece. Descriptive research was undertaken, and data were collected from 180 local governance leaders in Western Macedonia, Greece, to gain a deeper understanding of the role of governance in developing disaster resiliency and economic sustainability. The study confirmed the hypothesis that the focus of governance in developing disaster resiliency positively affects economic sustainability. The ability of governance to develop disaster resiliency and economic sustainability is mostly through leadership, engaging civil society, and international cooperation. These roles played by governance are also influenced by different political, economic, cultural, and social aspects, which all have an impact on the risk governance systems that cut across levels of resource assurance, technical support, and disaster risk management. Governance may have a significant impact on the overall design of rules and systems, including legislation, different decision-making procedures, and policy-implementation mechanisms, via political leadership. In terms of economics, the primary responsibility of governance is to support disaster risk-reduction systems. Governance must encourage risk awareness on a national basis through intensive disaster risk research, technological development, disaster-reduction education, and emergency response skills practice.
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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 | 0.000 | 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