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Record W57558990 · doi:10.5206/cie-eci.v26i1.9027

A perspective on Free Higher Education in Nigeria

2012· article· en· W57558990 on OpenAlexvenueno aff
K. C. Prince Asagwara

Bibliographic record

VenueComparative and International Education · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyGovernment (linguistics)Higher educationInvestment (military)Quality (philosophy)BusinessEconomic growthFinanceEconomicsPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

The paper examines the issue of tuition-free university education in Nigeria. I argue that the provision of educational facilities, the growth in enrolment at all levels, and the costs of sustaining tuition-free higher education in Nigeria place an unreasonable financial burden on the central government and have created a challenge to maintain reasonable standards and quality. The educational structures were established in the favorable international trade conditions of the 1970s and 1980s, patterns that no longer exist. Moreover, since private returns to investment in education at the secondary and tertiary levels are greater than the immediate social returns, I propose that Nigeria should re-orient its higher education systems from a completely subsidized system to one that is directed to greater cost recovery, including tuition and fees for services such as boarding and health care. Parents and guardians should bear the full financial cost of their children's higher education, although the National Education Bank, which succeeded the Students Loans Board, should make available loans and busaries to qualified and meritorious students.

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.

How this classification was reachedexpand

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.111
GPT teacher head0.478
Teacher spread0.368 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

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