The Political Economy of Contemporary Insecurity in Nigeria: Theoretical Issues and Explanations
Bibliographic record
Abstract
This paper examined the nature of contemporary insecurity in Nigeria. The paper adopts a qualitative methodology, and the data were gathered using documentary sources. It anchors on political economy approach using game theoretic modeling as theoretical framework. The paper argued that Nigerian state is currently facing internal security threats from separatist demands and ethnic militias to terrorism, cattle rustling, kidnapping for ransom, armed banditry, and armed robbery among others. It further stressed that Nigeria's frighteningly high level of insecurity makes its citizens live in constant fear. That Nigeria's socio-economic development has been badly impacted by this insecurity, which also has an influence on the credibility of Nigeria's international image. In order to address Nigeria's worries about insecurity, this paper concluded with policy recommendations, primarily for the National Assembly that corrupt practices must be addressed in order to restore peace in Nigeria. Also, to facilitate effective governance, which is necessary for upholding peace and stability in the country, the National Assembly must use the power of the legislative power derived from the constitution to improve responsiveness, transparency and accountability.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".