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Record W4280547349 · doi:10.33005/envirotek.v14i1.122

TINGKAT KERAWANAN BENCANA BIOLOGIS DEMAM BERDARAH DENGUE (DBD) DENGAN PENDEKATAN SPASIAL DI KABUPATEN BOMBANA

2022· article· id· W4280547349 on OpenAlex
Osu Oheoputra Husen, Erny Tamburaka

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJURNAL ENVIROTEK · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicDengue and Mosquito Control Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsForestryGeography

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0060.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.032
GPT teacher head0.306
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it