Political Marketing: An Effective Strategy for Quality Leadership and Sustainable Democracy in Nigeria
Bibliographic record
Abstract
Democracy stands for the rule of law, mutual consultation in matters of governance and the safeguarding of human rights brought about through quality leadership. This philosophical view forms the political hallmark of any nation including Nigeria. Unfortunately, democratization in Nigeria has remained nascent and quality leadership a mirage. This was largely due to the mis-conception given to the exchange theory concept in the Politician-Electorate relationships. The study identified Apolitical Marketing as the bane of sustainable democracy in Nigeria, thus the non-application of the concept of “customer first” (Electorate) is responsible for poor leadership. The author revealed that Political Marketing Research, Internal Democracy, Relational Politics and Green Politics are holistic in the drive toward good leadership and democratic sustainability. It was thus, recommended that Nigeria political class, umpires and leaders should invest very high proportion of their resources on research and intelligence gathering on the voters and embraces the holistic marketing concept geared toward a lasting, enduring and beneficial democracy.
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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 | 0.006 | 0.008 |
| 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 | 0.000 | 0.002 |
| 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".