Gender and leadership in public higher education in South Asia: examining the individual, socio-cultural and organizational barriers to female inclusion
Bibliographic record
Abstract
The study examines the personal, social, and organizational barriers facing women in university leadership positions in South Asia, building on the cases of Malaysia and Bangladesh. We discussed the topic through the lens of interactionist feminist theory. Semi-structured interviews with 20 female deans from 12 public universities in Malaysia and Bangladesh were conducted, followed by two focus group discussions with eight female deans. The results reveal that personal barriers such as family duties, lack of technological knowledge, interest in taking leadership positions, spousal support and poor time management, and lack of spousal support represented the major barriers for female deans in Bangladesh. Lack of interest in deanship was found to compound the underrepresentation of women in dean roles. The participants identified fewer socio-cultural barriers faced by Malaysian female deans, while Bangladeshi participants met major issues. The organizational barriers for female deans in public universities were reported. The findings hold significant organizational and policy implications.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".