A Study on Improvement of Target Setting Criteria for Disaster Prevention Performance in Jeju Island
Bibliographic record
Abstract
The government has set the disaster prevention performance target rainfall by the local government (National Emergency Management Agency, 2012) as a flood control policy that can prepare against natural disaster. However, the method of setting the disaster prevention performance target rainfall by municipalities does not reflect the rainfall characteristics of mountainous regions and islands. In this study, rainfall data reflecting the altitude and regional characteristics were analyzed using the meteorological observation system (ASOS, AWS) for Jeju Island. As a result, it was found that the rainfall increases about 1 ~ 4 times as the altitude increases from the lowland to the highland, and the existing disaster prevention performance target standard of Jeju Island does not reflect altitude characteristics. In addition, The target rainfall for disaster prevention performance is presented as dividing the two localities of Jeju city and Seogwipo city into Jeju East, West South and North areas. It is considered that various factors can be reflected in the compatibility assessment stage of rainfall estimation standard.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".