PENYUSUNAN MONITORING DAN EVALUASI RENCANA INDUK KELITBANGAN TAHUN 2022
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
Sesuai dengan Peraturan Menteri Dalam Negeri Republik Indonesia Nomor 17 Tahun 2016 Tentang Pedoman Penelitian dan Pengembangan di Kementerian Dalam Negeri dan Pemerintahan Daerah, untuk menjalankan fungsi kelitbangan, perlu disusun kerangka kebijakan kelitbangan pemerintah dalam negeri dan pemerintah daerah yang mengakomodir berbagai aspek penyelenggaraan pemerintahan dalam suatu konsep rencana kelitbangan secara komprehensif dan sinergis. Dinas Pekerjaan Umum, Penataan Ruang, Perumahan dan Kawasan Permukiman memiliki persentase terbesar yaitu 10% sedangkan Unit Pelaksana Teknis Laboratorium Lingkungan memiliki persentase terkecil yaitu 1%. Persentase implementasi Rencana Program/Kegiatan Kelitbangan mengalami kenaikan pada Tahun 2019 sebesar 71,07% menjadi 80,86% pada Tahun 2020, selanjutnya 94,81% pada Tahun 2021 kemudian di Tahun 2022 sebesar 99,30% dan naik lagi sebesar 100% di Tahun 2023.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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