Women’s Access to Senior Management Positions in the University of Abuja – Nigeria
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
Most of the research on women in higher education management has been conducted in the Westernsetting, particularly in the UK, USA, Canada and Australia. Similar studies have also been done inAsia, with reference to Thailand, Singapore, Hong Kong, and Malaysia, and in a few cases in Africa,with reference to South Africa and Kenya. Little has been done on the subject in Nigeria. In one of suchworks on a related issue, Oloruntoba & Ajayi (2006) used data on the research outputs of 219academics in three Nigerian agricultural universities to compare gender with research attainment. Thefindings showed that research attainment is slightly higher for male academics than for female, andacademic qualifications and rank are significantly associated with gender. The study also observedthat more male academic staff are employed at top management positions, while the majority of femaleacademic staff occupy middle management and entry levels. In another case, Nom, Onyeka &Jummai(2008) studied gender imbalance in access to higher education and employment in universities. Thestudy, based upon available data from the National Open University of Nigeria, found that genderimbalance existed in student enrolments and staff recruitment in the institution.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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