Quality of HE in Private Universities of Bangladesh: The Four Fundamental Perspectives
Bibliographic record
Abstract
Since its inception, Higher Education (HE) has always been playing a critical role for national development through the development of skilled manpower and intellectual civic society. Continuous paradigm shifting in HE in term of institutions’ pattern and course delivery mode and method has always been the part of the process of HE transformation. Consequently, private HE bears a long heritage and history. However, ‘commercialisation’ of HE through private provision is relatively new and the developing nation has been experiencing this since early 1990s with rapid expansion. The modernistic concept known as ‘commodification in HE’ has significantly impacted HE by changing the course curricula, targeted students’, teachers’ community , delivery mode, and methods of HE. The current research which is first of its kind in Bangladesh is a qualitative study using interviews, ‘perception survey’ and observation conducted in private universities, which covers 71% of university students. Findings show that legislators, stakeholders, students, parents and academics consider private HE as a tool for individual gain without deliberating HE as public goods which is vital for national development.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".