National Security, Good Governance and Integration in Nigeria since 1999: A Discourse
Bibliographic record
Abstract
At its 50th Independence Anniversary in October 2010, Nigeria still grapple with serious national insecurity, ethno-communal conflicts and lacking socio- cultural integration and appreciable material development. Though Nigeria’s current malaise can be traced to, among many other factors, the despotic nature of colonial rule, misrule of autocratic military regimes of the past and the general bad political leadership that entrenched unpopular policies, Nigeria need to invest massively on education and institute good governance that uphold the rule of law, accountability, protection of human rights, free and independent electoral systems and forbid evils in order to join the global comity of nations. In addition, the country can come out of the present predicament in which kidnapping and drug trafficking have become norms by waging an unselective war on corruption, establishing effective Agency for social mobilization and character reorientation, and entrenching principles of “Multiple Identities’ and ‘Unity in Diversity”. Above all, the country needs to modernize its security bodies to meet global challenges and benchmarks just as Nigerians must accept the country as theirs and therefore abide by public rules, be patriotic, uphold good neighbourliness and always preferring the national interests to selfish ambitions and personal greed. However, the onus to implement these palliatives is not only with the scholars whose tasks undoubtedly, have become more demanding than hitherto but particularly with the politicians, advisors, policy makers and administrators of the Nigeria polity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.029 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".