Lawatan Profesor Edie Rasmussen, profesor dan pengarah Universiti British Columbia
Bibliographic record
Abstract
Pada 13 Mac 2009 yang lalu, Fakulti Pengurusan Maklumat, UiTM Sarawak dengan kerjasama Persatuan Pengurusan Maklumat (INFORMS) telah mengadakan satu perjumpaan khas bersempena lawatan sulung akademik Profesor Edie Rasmussen daripada Universiti British Columbia, Kanada selaku Audit Luaran ke universiti ini. Perjumpaan khas ini adalah untuk memberi peluang kepada Profesor Edie Rasmussen berkongsi pengalaman, pengetahuan dan kemahiran beliau dalam bidang vang diceburi kepada para pensyarah dan para pelajar Fakulti Pengurusan Maklumat. Selain itu, Profesor Edie Rasmussen turut diiringi oleh pensyarah dan ahli jawatankuasa INFORMS melawat ke Perpustakaan dan Galeri Korporat.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.210 | 0.040 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".