ANALISIS MITIGASI BENCANA ALAM DENGAN PENDEKATAN SISTEM INFORMASI GEOGRAFIS DI MAGELANG
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.
Bibliographic record
Abstract
Secara geografis Magelang terletak antara 110001’51” dan 110026’58” Bujur Timur dan antara 7019’13” dan 7042’16” Lintang Selatan. Secara administratif, terbagi ke dalam 13 Kecamatan. Topografi Karisidenan Kedu secara umum merupakan dataran tinggi yang berbentuk basin (cekungan). Diapit oleh gunung Merbabu, Merapi, Andong, Telomoyo, Sumbing dan Pegunungan Menoreh,dengan dua sungai besar yang mengalir ditengahnya yaitu sungai Progodan dan sungai Elo. Tersusun dari formasi batuan Andesit tua dengan jenis tanah Aluvial, Regosol dan Latosol. Tingkat kemiringan lereng yang cukup curam dan dengan kondisi jenis tanah yang ada di Magelang dapat memicu kerentanan bencana alam. Tingkat curah hujan yang cukup tinggi dapat memicu bencana tanah longsor didaerah pegunungan dan lereng gunung, sedangkan di daerah yang lebih rendah terjadi bencana banjir. Oleh karena itu, berangkat dari factor internal dan eksternal tersebut maka diperlukan analisis mitigasi bencana geologi dengan pendekatan SIG dalam meminimalisir korban harta dan jiwa.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.022 |
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 it