YOUTUBE SEBAGAI MEDIA PEMBELAJARAN PENCEGAHAN DAMPAK PENYEBARAN VIRUS COVID19
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Anak-anak merupakan salah satu masyarakat yang rentan terhadap penularan virus selama pandemi COVID-19. Mencegah hal tersebut maka dilakukan pemberian edukasi ke masyarakat berupa penyuluhan melalui media YouTube. Tujuan dari penyuluhan ini adalah memberikan edukasi protocol kesehatan dalam menanggulangi virus COVID-19 dan pengurangan dampak lingkungan yang dikususkan kepada masyarkaat sasar. Masyarakat sasar dalam penyuluhan ini adalah anak-anak (n= 34) yang berada dalam kelompok program temani aku belajar Universitas Pertamina. Hasil pemberian video layanan masyarakat anak-anak sudah melakukan protocol kesehatan seperti mencuci tangan, menggunakan masker, dan membuang sampah masker dengan baik. Kebiasaan bermain diluar rumah masih menjadi masalah anak-anak sehingga hal ini perlu ditekan.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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 it