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Record W2046187891 · doi:10.4314/afrrev.v2i3.41069

Impact of National Universities Commission (NUC) Accreditation Exercise on University Administrative Structure

2008· article· en· W2046187891 on OpenAlex
O.A Oribabor

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAfrican Research Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsImpact
Fundersnot available
KeywordsAccreditationCommissionMedical educationPsychologyHigher educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.624
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.326
GPT teacher head0.521
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it