Sustainable development projects by IIUM Administrators
Bibliographic record
Abstract
This book is the highlight of the successful contributions and achievements of International Islamic University Malaysia Administrators by showcasing their flagship projects conducted over a period of one year. It illustrates twelve (12) projects that cover different themes with a variety of subjects ranging from the edible garden, energy-saving, stingless bees, Sejahtera sports, eco-bags, library clarification system, "adab dan budi" (manners), health and wellness, and e-waste management. In taking up the challenge, a group of International Islamic University Malaysia Administrators with full commitment and passion have embarked on the projects, leading the way for other Administrators to follow and echoing the University's effort in achieving the UNESCO seventeen (17) Sustainable Development Goals (SDGs). Each chapter narrates the stories of how each project was developed from start to end as well as highlights the challenges and obstacles the teams faced along the way. The success of the projects which gave meaningful and powerful impact to the University was made apparent by the tables of figures and pictures. In a nutshell, this book is a testament and culmination of administrators' achievement in doing noble things beyond their routine work.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 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 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".