Investigation of Crisis Management Structure of the Selected Countries with an Emphasis on Natural Disasters Using Multi-Case Study Method
Bibliographic record
Abstract
<p>Since Iran is regarded as a high risky country in terms of natural disasters, it is essential to pay attention to the crisis management agendas. One of the approaches used for disaster management is a community-based approach. This paper aims to take a positive step in direction of optimal disaster management, by studying and investigating the disaster management structures of both developed and developing countries in terms of climate and occurrence of disaster similarities between target countries (U.S.A, Canada, Japan, turkey, India, Pakistan) and Islamic republic of Iran, by adopting the comparative study method. The findings indicate that there is an authenticity between type and extent of development and decentralized structure of the disaster management; as a result the decentralized structure provides a required arena for comprehensive participation at various levels. The social capability subjected to the dangers will be increased in confronting disasters and society recover to the prior state will be boosted, if authorities can establish a balance between provincial, city, district and rural capacities and potentials usage of Iran and planning in all cycles of disaster management and decentralized structure.</p>
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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 | 0.000 |
| 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 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".