A THREAT TO THE EXISTENCE OF CONTEMPORARY MULTINATIONAL NIGERIA: BAD GOVERNANCE, THE ZEITGEIST OF TERRORISM, BANDITRY, AND SECESSIONISM
Bibliographic record
Abstract
A surge of secessionism is threatening contemporary Nigeria's survival, while unrepentant terrorists and bandits represent a major threat to the country's political stability. Unfortunately, the public outside the northern region of Nigeria has shown scepticism about the government's response to terrorism, banditry, and secessionism. They remain convinced that the government handles bandits and terrorists leniently while prosecuting secessionists harshly. In contrast to those who are sceptical about the government's approach to bandits and terrorists, the findings of this study showed that the government's reaction to terrorists and bandits is neither soft nor lenient but seems to be so owing to the sect's strategic mode of operation. Furthermore, the study found that secessionists are an easy target because they are vulnerable, known, and traceable. The study went on to identify the three concepts and determine the groups' major aims, and conspicuously highlighted the group threatening the existence of Nigeria and the ones threatening the existence of Nigerians in Nigeria. Data was chiefly garnered from secondary sources such as online news, textbooks, reports, and reputable journal articles relevant to the study. Descriptive and analytical approaches were adopted in the dissection of the data. The study concluded that the persistence of political horizontal inequality at the federal government level and the reluctance of the government to clamp down on Fulani herdsmen bandits wreaking havoc on host communities are potential drivers of secessionism.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".