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Record W1970571970 · doi:10.5539/jel.v2n1p171

Education and Political Restructure in Nigeria

2013· article· en· W1970571970 on OpenAlexvenueno aff
M.A.O. Ayeni, Joseph Olusola Adeleye

Bibliographic record

VenueJournal of Education and Learning · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Education and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringPoliticsPublic administrationPhilosophy of educationSociologyEducation policyGood governanceCorporate governanceAdministration (probate law)National PolicyPolitical sciencePosition (finance)Economic growthPolitical economyHigher educationManagementLawEconomics

Abstract

fetched live from OpenAlex

To say that education is a potent factor in any political restructuring is an undisputable fact. For a meaningfulpolitical development to take place in any nation, especially like Nigeria. The place of education is never indoubt to influence postively those in the position of authority to ascertain what are needed to put in place foreffective administration and good governance. Education as a matter of fact in this sense is not just what oneobtains in the institutions of learning, but it deals with all round development which makes one to contributemeaningfully to the development of himself, his family, his society and the entire nation. The national policy oneducation titled the philosophy of Nigeria Education made observations that since the national policy is gearedtowards achieving that part of its national objectives that can be achieved using educaiton as a tool, no policy oneducation can be formulated without first identifying the whole philosophy and objectives of the nation. It is onthis note that this paper examines “Education and Political restructure” as the parameter not only for political andsocial stability in Nigeria but equally for national development.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.011
GPT teacher head0.348
Teacher spread0.336 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2013
Admission routes1
Has abstractyes

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