Social Equity and Representative Bureaucracy: The Case of Nigeria's Federal Character Principle
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.022 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".