REGIONAL PLANNING AND DEVELOPMENT BASED ON DISASTER RISK REDUCTION IN BANTEN PROVINCE
Bibliographic record
Abstract
Abstract Banten Province is one of the areas prone to disaster, because it has various hazards of disaster. On the other side, the process of regional development continues as well as all human activities. To handling these problems, disaster risk reduction efforts are needed by taking into account the regional developments. The purposes of this research are to identify the level of disaster risk, the level of regional development, and to find out the relationship between disaster risk and the level of regional development in Banten Province. This research was conducted using the literature study method, by searching and studying various literatures. Data analysis was performed using scoring techniques and an integrated model of the relationship between regional development and disaster risk, with the unit of analysis is district/ city. The results showed that there were 2 typologies of the relationship between disaster risk and regional development in Banten Province, 5 districts/ cities (Pandeglang Regency, Lebak Regency, Tangerang Regency, Serang Regency and Tangerang City) in typology I (high) and 3 districts/ cities (Cilegon City, Serang City, and Tangerang Selatan City) in typology III (low). Keywords: hazard, vulnerability, capacity, disaster risk, regional development, banten province.
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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".