Islamic Militancy and Global Insecurity: An Analysis of Boko-Haram Crisis in Northern Nigeria
Bibliographic record
Abstract
The paper essentially examines the Boko-Haram insurgency in Northern Nigeria and its contribution to global insecurity. In it we have argued that the emergence of Islamic militancy the world over, particularly in Afghanistan, Pakistan, Yemen, and North Africa and in Nigeria poses a great threat to global security. The paper adopted the desk research and data derived were analyzed using content analysis. The findings from the analysis show that the Boko-Haram sect and its activities are increasingly becoming more radicalized with devastating and destructive impact in scale and momentum on the Nigerian society. The activities have led to the destruction of lives and properties and have made the Northern Nigerian environment unconducive for investment from within and outside the country; and the activities have seriously eroded or threatened the nation’s national cohesion and integration. Based on the findings, we have recommended among other measures for the government to put in place a Special Rapid Response Force, that is well trained, very mobile and well equipped to deal with these kinds of situations wherever they occur in the future and; government to seek for international collaboration with US and other European countries on counter terrorism in order to tackle global insecurity.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".