Land of cemetery: funereal images in the poetry of Musa Idris Okpanachi
Bibliographic record
Abstract
This paper focuses on Musa Idris Okpanachi’s poetry: The Eaters of the Living (2007), From the Margins of Paradise (2012), and Music of the Dead (2016). Nigeria, even after the military had relinquished power over a decade ago, is still faced with the issues that provoked the trope of protest in much of the poetry published between the mid-eighties and late nineties. Okpanachi’s poetry revisits these issues, demonstrating that democracy has been no less horrifying than military despotism. Dark, haunting images of blood, corpses, and cemetery recur in all three collections, depicting the regularity of death in the nation. I argue that Okpanachi employs funereal imagery to comment on the state’s morbid relationship with its citizenry. The Nigerian state is represented as murderous, so death fulfills its political objective. I conclude that although Okpanachi articulates a cynical commentary on postcolonial Nigeria, he marshals his creative energies to illuminate the political moment of his time.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".