PEMBUDAYAAN GERAKAN MASYARAKAT HIDUP SEHAT (GERMAS) DAN PERCEPATAN VAKSINASI COVID-19 DI JAWA TENGAH
Bibliographic record
Abstract
Pandemi COVID-19 yang menyerang sistem pernafasan pada manusia, yang telah menginfeksi jutaan orang di seluruh dunia, tidak terkecuali Indonesia. Salah satu usaha dari pemerintah dalam menjaga agar tidak terpapar wabah ini adalah dengan melaksanakan vaksinasi, meningkatkan promosi kesehatan dengan memberikan penyuluhan. Kegiatan Pengabdian Masyarkat bekerja sama dengan Dinas Kesehatan Provinsi, Dinas Kesehatan Kabupaten Tegal dan Puskesmas di wilayah kerja Kecamatan Adiwerna dan Suradadi. Rangkaian kegiatan diantaranya pemeriksaan kesehatan yaitu screening kesehatan pra vaksin, pelaksanaan vaksinasi COVID-19 dosis 1 dan 2 maupun booster, serta pemberian materi penyuluhan bagi 400 warga dari 2 Desa Gembongdadi dan Desa Pedeslohor. Dari hasil kegiatan yang didapatkan pengetahuan warga di Desa Gembongdadi dan Desa Pedeslohor meningkat dan cakuipan vaksin COVID-19 juga ikut meningkat.
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.
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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".