PENINGKATAN PEMAHAMAN PENCEGAHAN DAN HUKUM KESEHATAN TERKAIT PANDEMI COVID-19 DI KLINIK CAHAYA KEMANG, KABUPATEN BOGOR
Bibliographic record
Abstract
Penyebaran Covid-19 di Indonesia masih sangat tinggi. Salah satu daerah yang memiliki dampak tinggi adalah Kecamatan Kemang yang terletak di Kabupaten Bogor. Masyarakat Kecamatan Kemang membutuhkan informasi yang tepat untuk membantu menjaga kesehatan diri dan mencegah penularan Covid-19. Kegiatan edukasi mengenai Covid-19 bertujuan untuk memotivasi masyarakat sehingga mendukung gerakan pemerintah dalam pemutusan rantai penyebaran Covid-19. Tim memberikan media edukasi berupa poster, buku saku, dan video pencegahan penularan dan hukum kesehatan terkait Covid-19. Selain itu, pemberian materi secara daring menggunakan ZOOM. Masyarakat memahami bahwa pencegahan penularan Covid-19 dapat dilakukan dengan protokol kesehatan dan peningkatan daya tahan tubuh dengan pola hidup sehat serta vaksinasi. Pola hidup sehat termasuk menjaga pola makan dengan nutrisi seimbang, olahraga, serta pola tidur. Obat tradisional dan suplemen yang sering dikonsumsi masyarakat juga perlu disesuaikan kebutuhan setiap individu. Masyarakat juga mendapatkan wawasan hukum kesehatan terkait Covid-19.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.162 | 0.057 |
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".