Natural hazards and environmental implications in Nepal
Bibliographic record
Abstract
Purpose The purpose of the paper is to evaluate the published information on natural hazards and their implications in the environment. Design/methodology/approach The published data/information on natural hazards were collected and analyzed. Findings An analysis of the disaster data (1983‐2003) showed that a total of 1,063 lives on an average were claimed by natural calamities (earthquake, landslide, flood, fire, windstorm, epidemics and avalanche) each year. Water‐induced (flood and landslide) disasters alone contributed to 31.8 percent of the total deaths. Epidemics claimed the maximum number of deaths (55.9 percent) especially in the post‐disaster period. Many of these epidemics occurred due to the contamination of the drinking water sources by flash floods, and landslides. Poor sanitation, unsafe water and unhealthy living conditions contributed to major outbreaks of water‐borne diseases especially in the monsoon period claiming numerous lives. Originality/value Published information on natural hazards and implications on environment is limited. This paper integrated and analyzed 21 years of disaster data. A discussion of environmental implication is provided.
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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 | 0.000 | 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 | 0.001 |
| 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 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".