Partisan Politics, Political Culture and Restructuring Drive for Good Governance in Nigeria
Bibliographic record
Abstract
This paper discusses a number of partisan political attitudes among Nigerians such as party switching; especially by incumbent political office holders to a ruling party, taking kickbacks for party funding, use of money and material things to lure electorate, recruitment of party-militia to foment violence, party control by incumbent political office holders, and followers docile attitude to leadership service, and examines how they have constituted wrong political culture. The study also discusses the effects of such attitudes on good governance in Nigeria, and offers policy options for restructuring the behaviours. The study relied on secondary data and was content analyzed. The study argues for a need to restructure the wrong partisan behaviours among political stakeholders because they have made good governance elusive, incumbent political office holders more powerful and corrupt, partisan politics patron-client inclined and breed violence during electioneering periods. A number of restructuring policy-agenda were offered to move the country forward and put governance in enviable position.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".