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Record W4399356172 · doi:10.1080/13597566.2024.2362400

Federalism, centrism, and the crisis of the Nigerian academy

2024· article· en· W4399356172 on OpenAlexaff
John Boye Ejobowah

Bibliographic record

VenueRegional & Federal Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsFederalismPolitical sciencePolitical economyPublic administrationEconomic historySociologyEconomicsPoliticsLaw

Abstract

fetched live from OpenAlex

The article focuses on the crisis of the academy in Nigerian federalism. It begins by departing from the literature that conceptualizes the crisis of African universities in terms of state incorporation of the academy. The article draws attention to the necessity of differentiating federal polities from unitary systems and presents federations as being distinct for their assignment of university education competence to make for jurisdictional pluralism. Drawing on the fiscal and comparative federalism literatures, it traces the crisis of the academy partly to federal erasure of jurisdictional authority of the states, and partly to a fiscal regime of distributive revenue pool and the associated lack of consequences for opportunistic behaviour. It shows that the erasure of jurisdictional pluralism exposes the entire university system to adverse developments at the centre. It also shows that opportunistic behaviour weakens public institutions and undermines the capacity of the universities to deliver services.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.015
Scholarly communication0.0070.004
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.392
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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