MITIGASI BENCANA PERUBAHAN IKLIM DALAM PENGEMBANGAN DESA WISATA HIJAU DESA GONDANG KECAMATAN LIMBANGAN
Bibliographic record
Abstract
Gondang Village is a tourist village in the upper part of Kendal district with high morphological characteristics (tends to be hilly). Gondang village is currently developing as a tourist village, only tourism that is developing leads to mass tourism which is oriented towards bringing in large numbers of tourists. This condition is certainly very contrary to efforts to develop tourist villages which place more emphasis on conservation aspects. The consequence is an increase in disaster risk, both in the form of increased run off during the rainy season (increased flood discharge) and drought during the dry season in shaded areas, as well as increased ground movement. This community service aims to find solutions so that tourism village development efforts can still run, but can reduce disaster risk by disaster mitigation. The disaster mitigation in question is by regulating land use based on multiple disasters and improving the structural design of tourism supporting facilities and infrastructure.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".