Public Response to Bangladesh's 2007 Floods and Cyclone Sidr: A Comparison
Bibliographic record
Abstract
Bangladesh experienced two successive floods and a tropical cyclone (Sidr) in 2007. At the time of these disasters, a non-party caretaker government (NCG), backed by the national army, was in power in Bangladesh. Although NCGs were in power at least twice before 2007, previous caretaker governments did not experience any major natural disasters during their tenure. This study compares the opinions of flood and cyclone survivors on three important components of the NCG's emergency response: disaster-relief efforts, provision of emergency medical care, and construction of temporary shelters. Primary data collected from six villages affected by the floods and/or the cyclone reveals that the NCG was unsuccessful in responding to the floods of 2007 but that its response to the cyclone was immediate and overwhelming. This contrasting pattern of emergency response by the NCG is explained, and the author concludes that a well-functioning democracy is necessary to respond adequately to the adverse consequences of ...
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How this classification was reachedexpand
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 | 0.001 |
| 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".