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
Pokok permasalahan yang dikaji dalam penelitian ini bertujuan untuk mengetahui,mendeskripsikan dan menganalisis Perencana Pembangunan di Kecamatan Semitau Kabupaten KapuasHulu. Metode penelitian ini menggunakan penelitian Deskriptif dengan Teknik pengumpulan data adalahobservasi, wawancara dan studi dokumentasi dengan analisis data menggunakan metode analisisdeskriptif.Hasil penelitian ini menunjukan bahwa mekanisme musrenbang kecamatan di mulai daripembentukan Panitia tingkat Kecamatan dan pihak kecamatan meminta rekapitulasi usul pembangunanprioritas pada tingkat Desa. Proses musrenbang dilakukan dengan mengundang seluruh pihak terkaitbaik sebagai pserta maupun sebagai narasumber dan Penetapan hasil musrenbang kecamatan di tetapkandengan berita acara untuk selanjutnya hasil di kirim ke Pemerintah Kabupaten Kapuas Hulu.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.008 |
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