Access to Higher Education in Nigeria: The University of Calabar at a Glance
Bibliographic record
Abstract
The need for meaningful access to university education has recently become indisipensible in Nigeria as a result of population increase and volume of awareness of the role of the university education in the development of the individual and the nation at large. Admission policies of Nigerian universities of recent has been so dissatisfactory to Nigerian public as many applicants are subjected to rigorous texts and expenditures for non-existing spaces in the universities. This paper therefore, examined the University of Calabar in order to identify the factors that militate against candidates access to higher education. Five research hypotheses were tested at .05 level of significance. 200 respondents were used as the population for the study. 75 lecturers and 125 students were used. Findings revealed among others, that; Post UME screening is not favourable to most candidates seeking access to university education in Nigeria. That quota system policy of university admission is not favourable to non—indigenes of the state. Based on the findings few recommendations were proferred, among which is, that Nigerian government should formulate admission policies that would give every Nigerian candidate access to university education. Key words: Access; Higher Education; University; Calabar and Glance Resume: La necessite d'un acces significatif a l'enseignement universitaire est devenu recemment indisipensible au Nigeria en raison de la croissance demographique et la prise de conscience du role de la formation universitaire dans le developpement de l'individu et de la nation dans son ensemble.Les politiques d'admission des universites nigeriennes de ces dernieres annees ont ete si insatisfaisantes aux yeux du public nigerien que beucoup de candidats sont soumis a des textes rigoureux et devraient payer pour les espaces non-existants dans les universites.Cet article a donc examine l'Universite de Calabar dans le but d'identifier les facteurs qui militent contre l'acces des candidats a l'enseignement superieur. Cinq hypotheses de recherche ont ete testes a un niveau de signification de 0,05 degre. 200 repondants ont ete enquetes comme les sujets de l'etude, dont 75 professeurs et 125 etudiants. Les resultats ont revele, entre autres, que le post UME depistage n'est pas favorable a la plupart des candidats qui cherchent a acceder a l'enseignement universitaire au Nigeria. Cette politique du systeme de quotas d'admission a l'universite n'est pas favorable aux non-indigenes de l'etat. Sur la base des conclusions, quelques recommandations ont ete presentees, parmi lesquelles, on voit que le gouvernement nigerien devrait formuler des politiques d'admission qui donneraient acces a tous les candidats du Nigeria a l'enseignement universitaire. Mots-cles: Acces; Enseignement superieur; Universite; Coup d'oeuil sur Calabar
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".