Impact of Public Sector Auditing in Promoting Accountability and Trasparency in Nigeria
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
Accountability and Transparency has over the years been recognized as instruments of reduction of corruption at all levels of public sector. A lack of transparency and accountability in the public sector presents a major risk to the efficiency of the capital markets, financial stability, long term economic sustainability, economic growth and development. Unfortunately, the issue of accountability is a basic and fundamental problem in our country Nigeria. This is as a result of the high rate of corruption embedded in virtually all sector of our economy Nigeria. Going by the increase in democratization and concern about corruption, citizens are demanding from the government accountability and transparency by being well informed about what the government intends to achieve and what it has actually accomplished. Since public sector financial statement is the medium of information of government activities, the public is demanding audit reports in order to access the performance of those entrusted with public sector resources. This therefore implies that proper audit plays a significant role in promoting accountability. This study therefore seeks to examine the role of public sector audit in enhancing accountability and transparency in the public sector while bringing about a reduction in the level of corruption in the country.
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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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