EDUKASI PROTOKOL KESEHATAN DI ERA PANDEMI COVID-19 BAGI KADER KESEHATAN
Bibliographic record
Abstract
Kader Kesehatan sangat penting peranannya di era pandemi Covid-19 untuk meningkatkan kesadaran masyarakat agar taat menjalankan protokol kesehatan. Tujuan kegiatan abdimas ini adalah meningkatkan memberikan bekal pengetahuan seputar covid-19 kepada kader Kesehatan di wilayah kerja Puskesmas Sewon I. Metode kegiatan abdimas ini dengan penyebaran 10 macam poster pengetahuan seputar Covid-19 melalui grup whatt’s up kader kesehatan selama satu bulan di bulan Februari-Maret 2021. Evaluasi dilakukan melalui postes dengan google form. Hasil kegiatan abdimas ini menunjukkan bahwa kader kesehatan sangat antusias dan terjadi diskusi yang hangat seputar materi yang diberikan di grup whatt’s up, kader Kesehatan sangat tertarik dengan materi yang dibuat dalam bentuk poster yang sangat informatif dan dari hasil postes membuktikan bahwa kader kesehataan memiliki pengetahuan yang sangat baik seputar Covid-19 dengan skor 7,61 ± 1,62. Disimpulkan bahwa edukasi edukasi protokol kesehatan kepada kader Kesehatan di era pandemi Covid-19 ini mampu meningkatkan pengetahuan kader Kesehatan di lingkungan kerja Puskesmas Sewon I Bantul Daerah Istimewa Yogyakarta.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.151 | 0.068 |
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".