Visi Pustaka Jaringan Informasi antar Perpustakaan 7 artikel Vol. 18, no. 1, april2016
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
1. Perpustakaan Data: Sebuah Pengamatan Terhadap University of Toronto Map Data library.2. Evaluasi Ketersediaan Artikel jurnal Ases Terbuka untuk Cabang Ilmu Minyak dan Gas Bumi.3. analisis Pemaknaan Pemustaka Atas Ruang Perpustakaan FEB Undip.4. literasi Internet Petani Wilayah Persen Tegaldlimo dalam Rangka Implementasi Sawah Digital di kabupaten Banyuwangi Jawa Timur.5. Cerita Dongeng di Pusaran Arus Digital: membangun Koleksi Film Animasi Digital di Perpustakaan sebagai Upaya Mengembangkan Jiwa Nasionalisme.6. Tantangan Perpustakaan dan Arsip untuk Memilih Metode Mass Deasidifikasi Sebagai Salah Satu Upaya Pelestarian Dalam Menyelamatkan bahan Perpustakaan dari Kehancuran.7. Kajian Permintaan Standar Nasional Indonesia ( SNI ) Melalui PNPB d Perpustakaan BSN.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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