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Record W4410872393 · doi:10.1111/padm.13072

Social Equity and Representative Bureaucracy: The Case of Nigeria's Federal Character Principle

2025· article· en· W4410872393 on OpenAlex
Ene Ikpebe, Bodunrin Akinrinmade, Eric Asempah

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublic Administration · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsCentre for Global Health ResearchYork University
Fundersnot available
KeywordsBureaucracyCharacter (mathematics)Social equalitySocial characterEquity (law)Public administrationPolitical scienceEconomicsSociologySocial scienceLawPoliticsMathematics

Abstract

fetched live from OpenAlex

ABSTRACT This paper investigates the attitudes of public servants toward government‐mandated equity‐focused public sector hiring. We study this in the context of the Federal Character Principle (FCP) in Nigeria, which exists to ensure ethnic, gender, and religious representation in the federal civil service. Utilizing in‐depth interviews of mid‐level employees in select ministries, we ask: (1) do Nigerian public servants value the FCP? (2) do they experience a sense of diversity and inclusion within their agencies that they associate with the FCP? (3) how is FCP implementation related to the perception of organizational legitimacy? We find that civil servants see the FCP as a valuable policy, but they express concerns for its potential effects on civil servant quality and effectiveness. Respondents highlight the largely unsuccessful policy implementation, but trust the leadership of organizations considered more representative. Given the results, we discuss balance in the pursuit of public administration pillars—efficiency, economy, effectiveness, and equity.

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.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.073
GPT teacher head0.427
Teacher spread0.353 · 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