PENYULUHAN TEKNIK PEMBESIAN, PENGERJAAN SLOOF DAN TIANG RUMAH RAMAH GEMPA
Bibliographic record
Abstract
Kota Palu merupakan salah satu daerah di Indonesia yang termasuk dalam kategori rawan gempa. Posisi sesar Palu Koro yang melintasi wilayah Kota Palu menyebabkan kejadian gempa dapat terjadi setiap saat. Kondisi ini mengharuskan struktur bangunan di wilayah Kota Palu harus ramah terhadap gempa bumi. Untuk mendapatkan bangunan yang ramah gempa, ada beberapa cara yang dapat dilakukan misalnya lokasi bangunan di tanah keras. Namun keahlian tukang bangunan menjadi salah satu syarat mutlak untuk mendapatkan bangunan yang ramah lingkungan tersebut. Sayangnya, mayoritas tukang bangunan di Kota Palu belum memiliki keahlian dalam struktur ramah gempa. Dengan demikian perlu dilakukan kegiatan pengabdian kepada masyarakat dengan memberikan penyuluhan tentang teknik pembesian, sloof dan tiang bagi bangunan rumah ramah gempa. Mitra yang ikut dalam penyuluhan tersebut adalah kelompok tukang bangunan pada proyek Tadulako Permai. Hasil kegiatan ini dapat memberikan manfaat bagi mitra dalam menambah pengetahuan mengenai teknik pembesian, pengerjaan sloof dan tiang bagi rumah ramah gempa.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.015 |
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".