Representative Bureaucracy in the Public Service? A Critical Analysis of the Challenges Confronting Women in the Civil Service of Ghana
Bibliographic record
Abstract
In the public administration literature, the debate concerning the representation of minorities in the public bureaucracy continues to attract attention. The idea is that passive representation may lead to active representation with the later helping to develop policies and programs that will benefit minorities. Consequently, a number of governments have been implementing policies to enhance the involvement of minorities in public services. The Ghana government has not been left out in this endeavor. Since 1957, it has continued to institute measures to ensure a fair gender representation in the bureaucracy. This notwithstanding, the upper echelons of the bureaucracy continue to be dominated by males despite the over representation of women at the lower levels. What are the challenges confronting women in the public sector that make it difficult to achieve active representation? In this article, we examine the challenges confronting women to achieve active representation from a representative bureaucracy perspective.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.029 | 0.026 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".