Analisis Adaptasi dan Biaya Adaptasi Masyarakat Desa Sriwulan terhadap Banjir Rob
Bibliographic record
Abstract
As a coastal area, Sriwulan Village in Sayung District, Demak Regency, often faces increasingly severe tidal flooding problems. To survive, the people in this village have developed various adaptation methods in their social, economic, and physical lives. This study aimed to describe in detail the adaptations implemented by the residents of Sriwulan Village and measure the costs they have to spend to deal with the impact of tidal flooding. This research was conducted from January to August 2022. This research was conducted from January to August 2022 with a rationalistic deductive qualitative approach. The research sample consisted of 10 respondents representing the people of Sriwulan Village. The variables studied included the form of adaptation (physical, social, economic) and the amount of adaptation costs calculated using the averting behavior method. The study results showed that the total adaptation costs incurred by all respondents over the past 20 years reached IDR 663,010,000.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".