COASTAL VULNERABILITY PREDICTION TO CLIMATE CHANGE: STUDY CASE IN CIREBON COASTAL LAND
Bibliographic record
Abstract
<p>Coastal area is the most vulnerable area to climate change. Cirebon coastal land in Western Java, Indonesia is low-lying coastal area which is one of the potential areal for fish culture and farming. There are also major transportation facilities for western Java province to the whole area in the island (Java) through this area. As low-lying landscape, populated and developing city, Cirebon should be considered vulnerable to future sea level rise. Geomorphology, geo-electric and remote sensing study were conducted during 2008 and 2009 in coastal land of Cirebon. The result showed that most part of coastal area in Cirebon was eroded in various scales which vulnerable turn to worst. Sea water was penetrating throughout several kilometres inland. Valuation on various land-uses would project 1,295,071,755,150 rupiah/ha/year of loss while sea level were rose 0.8 meters that would inundate various land-uses i.e., Shrimp, fish and salt ponds, rice fields and settlement in the area.</p><p>Keywords: vulnerability, coastal, climate change, sea level rise</p>
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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".