Armed Forces, Security Strategy and Governance Programme, Institute of Food Security, Federal University of Agriculture Makurdi, Nigerias and Nigeria’s National Security Challenges: A Case Study
Bibliographic record
Abstract
Nigeria is known as the giant of Africa and for a long time has remained the watchdog of neighboring countries. Nigeria has participated in peace keeping operations in Liberia and Sierra Leone to mention a few. In accordance with it good neighborliness policy, Nigeria has always tried to play a leading role in peace keeping operations. Coming to its domestic issues Nigeria has in the recent past been bedeviled with several security challenges. What readily comes to mind is the readiness and capacity of Nigeria's military and security agencies to maintain Nigeria's military national security. With a view to finding out, this research paper tries to finds out whether the military and security agencies have the capacity to maintain Nigeria's national security. It's important to note that the importance of a nation's military national security which has to do with armoury and weaponry basically military preparedness cannot be taken for granted. This paper used survey design to collect data from major states ravaged with major security challenges. Results gathered through empirical evidence show that Nigerian military and security agencies have the capacity to maintain Nigeria's national security. The paper made recommendations towards enhancing the already existing capacity of the military and security organizations to maintain Nigeria's national security.
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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 | 0.003 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".