Fishermen Adaptation to Climate Change in Mertasinga Village, Gunungjati Sub-District, Cirebon Regency
Bibliographic record
Abstract
This study aims to determine the adaptation carried out by the fishermen of Mertasinga Village in facing climate change. The population of the study was 2,025 fishermen in Mertasinga Village, and a sample of 102 fishermen was taken using a proportional random sampling technique. Data were collected using observation, interviews, and documentation. Data were analyzed using the interactive analysis model from Miles and Huberman. Based on the results of the analysis, it can be concluded that climate change has an impact on fishing activities that require fishermen to adapt. In fact, they have adapted to climate change even though the used technology is still quite minimal; fishermen have not developed a ship, have not used weather information and maps of fish catchment areas from the BMKG, and have not used fish tracking devices. Carrying out continuous socialization, strengthening social capital and organizational capacity, and holding various trainings concerning on alternative livelihood are greatly essential to do.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".