KEBIJAKAN HUKUM DI TENGAH PENANGANAN WABAH CORONA VIRUS DISEASE (COVID-19)
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
Penanganan Covid-19 secara nasional merupakan kesatuan tindakan yang lahir dari kebijakan strategis komprehensif. Kebijakan ini harus mengatasi kondisi terkini dan mengantisipasi dampaknya di kemudian. Upaya-upaya yang saat ini dilakukan oleh pemerintah adalah: kebijakan social distancing/physical distancing, perlindungan bagi tenaga kesehatan sebagai garda depan, pembatasan sosial berskala besar, transparansi pemerintah dalam penanganan pandemi Covid-19, validitas data hasil pemeriksaan. Untuk penanganan wabah Covid-19 ini, penegakan hukum menjadi salah satu langkah yang dipilih oleh pemerintah. Aparat kepolisian bertugas dalam membubarkan kerumunan massa, menangani penyebar berita bohong atau hoax, serta penimbun bahan pokok. Selain itu pihak kepolisian juga telah mempersiapkan ancaman pidana bagi masyarakat yang melanggar, sanksi tersebut terdapat dalam Maklumat Kapolri Nomor Mak/2/III/2020 tentang Kepatuhan terhadap Kebijakan Pemerintah dalam Penanganan Penyebaran Virus Corona (Covid-19) dan bentuk pelanggaran atau kejahatan yang mungkin terjadi selama PSBB dalam Surat Telegram Kapolri Nomor ST/1098/IV/HUK.7.1./2020.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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