Analisis tingkat risiko bencana tanah longsor di wilayah Kabupaten Blitar, Jawa Timur
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
<p dir="ltr"><span>Indonesia merupakan negara rawan bencana apabila dilihat dari aspek geografis, klimatologis, maupun demografisnya. Letak geografis Indonesia yang berada di antara 2 benua dan 2 samudera menyebabkan potensi bencana meningkat terutama secara geologis. Letak Indonesia pada 3 lempeng, yaitu Lempeng Eurasia, Lempeng Indo-Australia, dan Lempeng Pasifik berkontribusi pada kerawanan bencana tersebut. Kabupaten Blitar dengan proporsi wilayah dataran tinggi yang besar membuat wilayah tersebut menjadi rawan terhadap potensi bencana longsor. Penelitian ini akan membahas mengenai kajian tingkat risiko bencana tanah longsor di wilayah Kabupaten Blitar melalui analisis kerentanan bencana, kapasitas bencana, dan bahaya yang dipadukan melalui teknik overlay menjadi tingkat risiko bencana tanah longsor. Hasil penelitian menunjukkan bahwa Kabupaten Blitar didominasi oleh area dengan tingkat kerawanan bencana tinggi hingga sangat tinggi. Penelitian ini diharapkan membantu upaya mitigasi pengurangan dampak bencana tanah longsor di Kabupaten Blitar.</span></p>
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it