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Fiscal Allocation and Administrative Effectiveness of University Managers in Southern Nigeria ALLOCATION BUDGÉTAIRE ET EFFICACITÉ ADMINISTRATIVE DES GESTIONNAIRES DES UNIVERSITÉS DU NIGERIA DU SUD

2010· article· fr· W1938542726 on OpenAlexvenueno aff
Akaninyene Amos Udom, Usang Usang Bassey

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationRevenuePolitical scienceWelfare economicsBusinessEconomicsAccountingSociologyDemography

Abstract

fetched live from OpenAlex

This study investigated Fiscal Allocation and Administrative effectiveness of managers of Federal universities in the South-East and South-South Zones of Nigeria. The causal comparative design was adopted while two hypotheses which covered the sub-variables of the research were formulated to guide the study. Two ten point semantic differential instruments were developed and validated for the study: Fiscal Allocation and Administrative Effectiveness Questionnaire (FAAEQ) and University managers Administrative Effectiveness Questionnaire (UMAEQ) were used to obtain data from 600 purposively sampled subjects and 2,400 randomly selected lecturers from a population of 640 managers and 8,654 lecturers respectively in the eight universities within the area of study. The data were analyzed using population t-test. The study revealed a significantly high level of fiscal allocation to universities in Nigeria and that universities manager’s administrative effectiveness was equally significantly high. It was concluded that fiscal allocation in terms of the levels of subvention, internal revenue, grant/aid has a significantly high influence on the administrative effectiveness of university managers in terms of budgeting, decision-making and management of finance, personnel, curriculum and plant/facilities. Keywords: Fiscal Allocation; University Managers; Administrative EffectivenessResume: Cette etude a examine l'allocation budgetaire et l'efficacite administrative des gestionnaires des universites federales dans les zones sud-est et sud-ouest du Nigeria. La methode comparative de causalite a ete adoptee alors que deux hypotheses qui couvraient les sous-variables de la recherche ont ete formulees afin de guider l'etude. Deux instruments semantiques differents de dix points ont ete developpees et validees pour l'etude. Le questionnaire de l'allocation budgetaire et de l'efficacite administrative(QABEA) et le questionnaire de l'efficacite administrative des gestionnaires universitaires (QEAGU) ont ete utilises pour obtenir des donnees de 600 sujets deliberement choisis et 2.400 enseignants choisis au hasard parmi un total de 640 gestionnaires et de 8.654 professeurs respectivement, dans les huit universites dans le domaine d'etude. Les donnees ont ete analysees a l'aide du t-test de population. L'etude a revele un niveau significativement eleve de l'allocation budgetaire pour les universites du Nigeria et le niveau de l'efficacite administrative des gestionnaires des universites a ete egalement significativement elevee. Il a conclu que l'allocation budgetaire en terme du niveau de subvention, des recettes internes, de la subvention ou de l'aide avait une influence significative sur l'efficacite administrative des gestionnaires des universites en matiere de la budgetisation, de la decision et la gestion des finances, du personnel, des programmes et des installations.Mots-cles: allocation budgetaire; gestionnaires des universites; efficacite administrative

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)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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