Conflict transformation and permanent peace in Keana local government council of Nasarawa State, Nigeria: the roles, motives, objectives, strategies and tactics of the religious and traditional leaders
Bibliographic record
Abstract
Keana Local Government Council (LGC) in the Southern Senatorial District of Nasarawa state, Nigeria, experienced a devastating inter-ethnic conflict between 2001-2002, and has since then enjoyed uninterrupted durable peace. Motivated therefore by the desire to know more about the conflict, how this durable peace was achieved and most importantly the transformative roles, strategies and tactics adopted by the religious and traditional leaders in Keana LGC in addressing the conflict and attaining this feat, this study relied on (1) conflict transformation and other theories to elaborate some key concepts, (2) and used simple qualitative methodology to collect data from the religious and traditional leaders, and to analyse it for the primary purpose of highlighting their significant responsorial contributions Mutual mistrust, political marginalization, unattended land skirmishes and brutal murder emerged as the primary causes of the conflict. With their status and roles as motivators, mobilizers and peace diplomats, and aided tactically by personal courage, fearlessness and love for the people, the religious and traditional leaders were able to strategically address the conflict with sustainable dialogue, interactive problem-solving meetings, religious rituals, traditional mores, peace education and youth mobilization. Based on these transformative contributions, this study makes these positional statements: (1) the Keana communities hold these leaders with tenacity as auspicious elements of their histories and social welfare, (2) these leaders are local non-state peace actors and epistemic communities which ideologists, state-crafters, peace researchers and practitioners ought to work with as co-actors in peace processes and social development.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".