Effective Management of Tertiary Education in Nigeria as a Panacea to Good Governance and National Security
Bibliographic record
Abstract
Tertiary education is widely accepted in Nigeria today as a form of investment in human capital development that yields economic benefits and contributes significantly to the nation’s future wealth and development by increasing the productive and consumptive capacity of the citizens. Tertiary education equips the individual with relevant knowledge, skills and attitudinal orientation required to progress in one’s chosen career in life and contribute meaningfully to the economic growth and security of the nation, through purposeful governance. Ironically, tertiary education in Nigeria today is facing myriads of problems. Effective management of the tertiary education entails that the administrators of the tertiary institutions must identify these critical problems and harness judiciously available resources towards alleviating them. Effective management of tertiary education in Nigeria as a panacea for good governance and national security depends greatly upon the quality and quantity of all resources earmarked for this level of education, by all its stakeholders as well as prudential management of the resources.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".