Academic Staff Retention in Private Higher Education Institute - Case Study of Private Colleges in Kuala Lumpur
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
This case study attempts to identify the reasons for high turnover of academic staff in private higher institutions especially in small colleges. Three small colleges that shared almost the same type of background were being selected to participate in this study. The academic coordinator from these three institutions was interviewed. This case study has been adapted into qualitative method in order to discover any new elements that are able to explain the lower retention rate among academic staff in private college. The findings indicate that there are several factors that spearhead to failure in retaining academic staff in private higher institution including task and work load, conflict of role, underpaid, and other intrinsic factors. In addition, this study has drawn some suggestions to small colleges to retain academic staff and to Malaysian Quality Accreditation to monitor and regulate turnover rate of academic staff in small colleges.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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