When a Modern Hero Tramples the Epic World: Ahmadou Kourouma and the Ideological Manipulation of Epic in En attendant le vote des bêtes sauvages
Bibliographic record
Abstract
This article explores the use of the epic Sundiata in Ahmadou Kourouma's novel En attendant le vote des betes sauvages . The Sundiata epic was initially harnessed by Negritude to indicate a sense of possibility for a positive post-independence political situation. However, when that forecast did not come to pass, use of the Sundiata epic changed, as this novel demonstrates. I assert that Kourouma's parodic use of the epic indicates a disillusionment with the political situation of the postcolony. As Kourouma compares his corrupt big-man politician protagonist parodically to the epic's eponymous hero, a new usage of the epic genre emerges, one which strikingly goes against the grain of previous uses of the genre.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| 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".