Personnel Utilization: A Major Challenge in Nigeria Local Government System
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 success of any organization rely more in ability to utilize its human and material resources to achieve the desired objectives. Local government in Nigeria has a mandate of proper utilization of her personnel in an efficient and effective manner in order to meet the developmental demands at the local level. This particular objective has suffered a setback particularly in a result-oriented manner. The paper adopted secondary and primary source of data. The paper revealed some issues that have been major clogs to effective utilization of personnel in Nigeria local government, which range from lack of: adequate policies; proper job description; proper developmental orientation; and proper innovation among others. It recommends a re-adjustment of policies, proper job descriptions, in terms of task and responsibility to each employee, and that the state government should allow local government to strive more in order to effectively maximizes their personnel utilization. The paper concluded that the personnel utilization rate in Nigeria local government is at low ebb.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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