The Challenges of Maintaining the Integrity of Public Examinations in Nigeria: The Ethical Issues
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 qualitative merit of examination or test-taking for diagnostic, placement and quality control is usually measured in terms of its appropriateness and the quality assurance of its outcomes. Consequently, it becomes inevitable that for any examination to be credible, it must possess key elements which are validity and reliability. These key elements can only be present if examination is free and fair, devoid of cheating and all sorts of malpractices. This presupposes that examination conduct must be guided by a set of rules and ethical standards. Considering the strategic importance of examinations in the society and the numerous unanswered questions of moral integrity bedevilling the conduct of public examinations in Nigeria, this paper articulated the ethical issues and challenges facing the correct conduct of public examinations in Nigeria. Suggestions and recommendations were proposed with a view to enhancing the qualitative merit and the integrity of the nation’s educational enterprise.
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 | 0.004 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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