Bibliographic record
Abstract
In the Nigerian context, every mention of war (as a word in the Nigerian past or present) automatically takes one back to the Nigerian-Biafran Civil War (1967-1970). While reference to this war is an integral part of this study, this paper examines the different faces of war in Nigeria and literary responses to them. Beyond armed conflict, gender positionings and configurations, political manipulations and intrigues, corruption issues, economic, ethnic and religious-inspired uprisings are wars Nigeria has been, and is still, contending with. From the novels of Chinua Achebe, Elechi Amadi, Chukwuemeka Ike, Isidore Okpewho, Festus Iyayi, Femi Osofisan, Okey Ndibe, Flora Nwapa, Buchi Emecheta, Abubakar Gimba, Tanure Ojaide, Afam Belolisa, Kaine Agary; to the poetry of Wole Soyinka, J. P. Clark, Mabel Segun, Pol Ndu, Peter Onwudinjo, Joe Ushie, Catherine Acholonu, Cecilia Kato, Ibiwari Ikiriko, Sophia Obi; to the drama of J. P. Clark, Wole Soyinka, Ola Rotimi, Arnold Udoka, among others, it is evident that these wars have provided impetus to the Nigerian literary artists. These writers have examined the different facets, phases, implications and prospects of these wars. The underlying lesson, in all, is that the liberative undertone of every/any war must never be abused and/or compromised for selfish purposes or unattainable goals.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".