Postcolonial Ogres: the Grotesque in Ngũgĩ wa Thiong’o’s Wizard of the Crow
Bibliographic record
Abstract
Ngũgĩ wa Thiong’o’s Wizard of the Crow dramatises the social decay in much of postcolonial Africa in such a manner that it appears caricatural and rather grotesque. The novel, in fact, teems with grotesque imagery. This paper will analyse Ngugi’s usage of the grotesque aesthetic, with a view to examining the various representations of the grotesque and the extent to which the text is unarguably grotesque. Drawing on M.M. Bakhtin’s concept of the grotesque and of a few other theorists, the paper concludes that Ngugi employs the grotesque as a narrative strategy to illuminate the dehumanising socio-political conditions symptomatic of despotic African nations. By using this strategy, Ngugi equally critiques the monstrosity of unbridled power amongst politicians in government, while advocating its subversion by popular revolution.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".