Roadmap Riset dan Publikasi; Menuju Keunggulan Kompetitif dan Komparatif IAIN Pontianak Berbasis Kebudayaan Islam Borneo
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
Unsur-unsur yang harus ada dalam penyusunan Roadmap riset dan publikasi adalah; a) Rencana Strategis Perguruan Tinggi, b) Rencana Operasional Perguruan Tinggi , c) dokumen Penelitian 4 tahun terakhir, d) data kepakaran dosen berdasarkan keahlian/bidang ilmu dan sertifikasi, e) analisis SWOT, f) visi misi fakultas, jurusan dan unit kerja, g) hasil evaluasi diri, h). Roadmap penelitian invidivu dosen, i) keahlian/bidang ilmu dosen, j) kesesuaian dengan mata kuliah. Pembuatan Roadmap Riset dan Publikasi harus melibatkan seluruh civitas akademika yang perwakilan dari unit yang berkaitan dengan profesionalisme dosen, yaitu Rektor, wakil rektor I, II dan III, fakultas, jurusan, konsorsium dosen. Tracking Kepakaran dosen diupayakan melalui diwajibkannya dosen IAIN Pontianak untuk membuat Roadmap penelitian dan publikasi secara individu, penyesuaian penelitian dan publikasi dengan kepakaran, penyesuaian penelitian dan publikasi dengan visi misi jurusan yang menjadi homebase dosen/peneliti.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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