Bibliographic record
Abstract
Tahniah kepada semua warga kampus UiTM Sarawak kerana kita sekali lagi memenangi Anugerah Kualiti Naib Canselor (ANC) 2005 dengan membawa pulang piala pusingan dan RM 20,000.00. Melihat kepada sejarah, kita telah memenangi anugerah ini sebanyak 4 kali dan telah memenangi ANC 3 kali berturut-turut bagi tahun 2003, 2004 dan 2005. Kemenangan ini merupakan kemenangan bagi semua warga kampus UiTM Sarawak kerana kita telah sama-sama bekerjasama dalam menjayakan program pengurusan berkualiti di UiTM Sarawak. Tanpa penglibatan yang menyeluruh dari warga kampus, kemenangan ini tidakakan dicapai. Walaubagaimanapun, kemenangan hanya akan tinggal sejarah sekiranya kita tidak dapat mengamalkan proses penambahbaikan berterusan. Oleh itu sekali lagi kita berharap agar dapat sama-sama mengamalkan Sistem Pengurusan Berkualiti berteraskan kepada penambahbaikan berterusan seterusnya memperkasakan "Human Capital" untuk kecemerlangan UiTM Sarawak.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.137 | 0.046 |
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".