Impact of National Universities Commission (NUC) Accreditation Exercise on University Administrative Structure
Bibliographic record
Abstract
The study examined the impact of National University Commission (NUC) accreditation exercise on university administrative structure of four selected Nigerian universities between 1995 and 1999. Data were collected through questionnaires administered to 400 staff and 200 students of four Nigerian universities. The universities were; Obafemi Awolowo University Ile-Ife, University of Ibadan, Ibadan, Olabisi Onabanjo University Ago Iwoye, and University of Ado-Ekiti. One hypothesis was generated for the study. The two sets of questionnaires - one for the students and the other for staff were used to elicit information from the respondents. The responses were tested at 0.05 level of significance using chi-square statistics. The study revealed that the accreditation exercise had no impact on administrative structure (X2 c = 70.30, X2 t = 12.59, df = 6, p
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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 | 0.008 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".