Implementation of community flood risk communication in Kumamoto, Japan
Why this work is in the frame
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Bibliographic record
Abstract
Abstract To enhance local flood disaster mitigation, participatory approaches for community‐based flood risk communication are proposed using the workshops based on a Plan‐Do‐Check‐Action (PDCA) cycle. In our case study, risk communication for floods due to heavy rain and river flooding was implemented at the Kosen community in Kumamoto City, Japan, during 2006–2007. A community‐based flood hazard and evacuation route map were produced during the workshops and verified through virtual desktop evacuation drills. The fundamental resident flood evacuation data was obtained through the evacuation drills and analyzed with respect to the timing of the announcement of evacuation information, walking speed during evacuation, and the locations of evacuation centers. Implementation of flood risk communication was found to be effective for the enhancement of residents' awareness of both self‐ and mutual‐help efforts in community‐based flood risk mitigation. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.000 | 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 | 0.001 |
| 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