Psychological preparedness of coastal communities in Surabaya: a preliminary finding
Bibliographic record
Abstract
Indonesia has been acknowledged as one of countries that has the largest coastline in the world after Canada and Norway. Situated between Australia plate, Pacific plate, and Eurasia plate has made the country prone to disaster. Tsunami is one of the disasters that struck coastal communities in Indonesia. Tsunami is one type of disaster that bring devastated impact economically, socially and psychologically especially for the coastal communities including for Surabaya community that live along the coast. Studies found that psychologically preparing individual to face disaster could help to reduce the psychological impact of the disaster. Therefore, identifying the psychological preparedness is pertinent to reduce the risk of disaster especially for the coastal communities in Surabaya that were prone to tsunamis and other natural hazards. The purpose of the study is to describe the psychological preparedness for disaster of coastal communities in Surabaya. The result shows that the psychological preparedness for disaster of the participants was mostly in average level. Therefore, psychological preparedness for disaster needs to be improved especially among female with age between 12-35 years old population in order to reduce the risk of psychological impact of disaster.
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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 | 0.000 |
| 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) | 0.004 | 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".