Re-engineering African Political Leadership Through Good Governance for Sustainable Development and Growth in Africa
Bibliographic record
Abstract
The history of Africa from the pre-colonial till date clearly shows that it is a continent with all the potentialities for greatness. What is largely lacking is the proper leadership that could successfully harness abundant natural resources of Africa for sustainable growth and development. The development of Africa is in the hands of Africans as President Barack Obama of the United States of America rightly observed in his recent trip to Ghana. Therefore, what Africa needs to step into the terrain of greatness are a political leadership that has integrity, accountability, transparency, vision, the education, the will, the credibility and the capacity to manage the process of change and a followership that is ready to change its attitude, its ways and taste.These are necessary qualities and attributes required in African Leadership to guarantee sustainable growth and development of the continent. Key Words: Good Governance; Sustainable Development; Leadership; Africa
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".