Public Sector Restructuring and Governance in Nigeria: Perspectives, Processes and Challenges
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.
Bibliographic record
Abstract
The paper “public sector restructuring and governance in Nigeria: perspectives, processes and challenges” draws our attention to the issues affecting the smooth implementation of restructuring efforts in Nigeria. The objectives of this paper are to examine the public sector restructures in recent times, identify the factors affecting the implementation of public sector restructures and to determine the processes of public sector restructuring in Nigeria. Survey method was adopted to elicit data for this study. Meanwhile, the paper revealed, among other things that bad leadership significantly affected the implementation of the structure programmes in Nigeria’s public sector. The paper recommends inter alia; that initiators of restructuring should understand the relationship between public sector restructuring and organizational culture, build consensus on restructure agenda between the political actors, drivers of restructure and the bureaucracy regarding the scope, strategy and implementation modalities of the restructure process, strengthen the implementing and coordinating mechanisms for restructure and strengthen central agencies crucial to change. Implication of this finding for government officials is that it is only full implementation of public sector restructures that can bring about the attainment of greater efficiency, productivity and consequently lead to socio-economic transformation.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it