TINGKAT KERAWANAN BENCANA BIOLOGIS DEMAM BERDARAH DENGUE (DBD) DENGAN PENDEKATAN SPASIAL DI KABUPATEN BOMBANA
Bibliographic record
Abstract
Penelitian menganalisa persebaran indeks kerawanan DBD berdasarkan incidence rate (IR). Penelitian ini dilaksanakan di Kabupaten Bombana Provinsi Sulawesi Tenggara Penelitian menggunakan desain kuantitatif. Objek analisis adalah jumlah kasus, frekuensi serta indeks kerawan. Data dianalisis secara deksriptif kualitaif dan analisis spasial (ArcView 3.2). Kasus DBD di Kabupaten Bombana tersebar di enam kecamatan dan 35 desa/kelurahan. Poleang Barat 208 kasus, Poleang 111 kasus, Poleang Selatan 64 kasus, Poleang Timur 46 kasus, Rumbia 24 kasus dan Rumbia Tengah 17 kasus. Ada 12 desa/kelurahan berstatus “sangat rawan”, 6 yang “rawan”, 2 yang “agak rawan”, 8 yang “agak aman” dan 7 desa/kelurahan yang “aman”. Rata-rata jumlah kasus DBD yang terjadi sekitar 0,33-0,98 % dari total jumlah penduduk. Ditemukan usia 0-10 tahun (48,30 %), 11-20 tahun (28,09 %). Menjangkiti laki-laki sebanyak 49,57 % dan perempuan 50,43 %.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".