Fishers' responses to tropical cyclones in coastal Bangladesh
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
Coastal communities in general have been studied in the context of disaster. However, the specific responses of fishing communities to tropical cyclone events remain relatively under-explored in the disaster science literature. This study investigates fishers' responses to tropical cyclones and various factors that impact behavioral decisions on whether to go to a cyclone shelter. The findings suggest that fishers' coping mechanisms involve securing daily necessities through their initiatives, reliance on kinship relations and obligations, diversification of livelihoods, intensification of fishing, and engagement in social networking and environmental management. The findings suggest that approximately half of the participants refrained from seeking refuge in cyclone centres for various reasons. Crucially, the socio-economic and occupational status of fishing communities significantly influenced their reluctance to comply with evacuation orders. Recognizing non-compliance with evacuation orders is a leading factor in cyclone-related human fatalities and addressing and mitigating non-compliance is essential. Integrated and comprehensive approaches, including cross-sector cooperation, will be needed for effective disaster risk management strategies within small-scale fishing communities. • Fishers' responses to tropical cyclone events have remained relatively less studied within the disaster science literature. • Socio-economic and occupational status significantly influenced fishers' reluctance to comply with evacuation orders. • Integrated and comprehensive approaches, will be needed for effective disaster risk management for fishing communities.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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