Training of Disaster Risk Reduction (DRR) Facilitators for Prospective Volunteer Students of Widya Dharma University Klaten
Bibliographic record
Abstract
Bencana alam gempa bumi tahun 2006 di Yogyakarta dan sekitarnya menimbulkan banyak korban jiwa. Besarnya jumlah korban disebabkan oleh kerasnya goncangan gempa dan gempa bumi susulan yang kekuatannya jauh lebih besar. Pasca gempa, penduduk masih mencari korban di reruntuhan bangunan, terperangkap dan tertimpa bangunan. Berdasarkan fenomena yang terjadi di masyarakat, maka kami sebagai civitas akademika tergerak memberikan Pelatihan Pengurangan Risiko Bencana (PPRB) kepada calon fasilitator mahasiswa Unwidha yang akan diterjunkan ke Desa di seluruh Kabupaten Klaten. Tujuan pengabdian ini adalah untuk mengurangi besarnya korban jiwa ketika terjadi bencana di Kabupaten Klaten, dan dapat mengurangi Risiko fatal yang diakibatkan bencana di bidang ekonomi, sosial, dan lingkungan. Metode yang dilakukan adalah penyampaian materi dengan ceramah disertai tanya jawab dari peserta, kemudian demonstrasi dan praktik. Kegiatan program pengabdian kepada masyarakat ini menghasilkan prosedur operasional manajemen pengurangan Risiko bencana dan terwujudnya Relawan Tangguh Bencana yang dapat mengimplementasikan manajemen pengurangan Risiko bencana.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.008 |
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".