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Record W2156375620 · doi:10.5539/jpl.v5n4p111

Institutional Collaboration as Essential Ingredient for Efficient and Effective Service Delivery: A Critical Focus on the Tripodic Super-bureaucracies and Bureaucrats in Ekiti State, Nigeria

2012· article· en· W2156375620 on OpenAlexvenueno aff
S.T. Akindele, Oluwadare Ayeni, Yakibi Ayodele Afolabi

Bibliographic record

VenueJournal of Politics and Law · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Change and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsSustenanceBureaucracyEthosService delivery frameworkGloryState (computer science)Nexus (standard)Service (business)Public relationsRelevance (law)Public administrationSociologyPolitical scienceBusinessEngineeringMarketingComputer scienceLawPolitics

Abstract

fetched live from OpenAlex

This paper, using Ekiti State, Nigeria as a case study examines the issue of collaboration and its nexus with effective and efficient responsive service delivery to the citizenry. It takes off with a discussion of the relevant concepts that give both theoretical and practical expressions to the Offices of the SSG; HOS and; CSC vis-à-vis their coordinate relational partnerships. In the process, the deep-seated history; functions as well as the problems and challenges of these offices were concretely highlighted. While the benefits of collaboration among them were identified and critically examined, the need for the super-bureaucracies and bureaucrats in the state to create conducive atmospheres for the continuous sustenance of collaboration was stressed as the only avenue for the civil service to regain its lost glory and attain relevance in today’s global village in line with the ethos of public administration of the 21st century.

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 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 score0.575
Threshold uncertainty score0.276

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)0.0000.000

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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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