The Praxis of Artistry: Humour and Caricature in Chimamanda Ngozi Adichie’s Purple Hibiscus
Bibliographic record
Abstract
This study commenced by pointing out the lacuna that exists in stylistic and literary criticism and advocated for a balanced study in the areas of ‘what’ and ‘how’ in literary studies. The aim of this study which is the analysis of humour and caricature in Adichie’s Purple Hibiscus was stated and one of the objectives of the study is to find out how the devices of humour and caricature can develop the themes of the novel. Tendency humour and caricature were propounded as frameworks for the analysis of humour and caricature in Adichie’s Purple Hibiscus . They were applied in the analysis of the sampled passages from the novel on humour and caricature. Some of the findings of the study are: Hmour and caricature constitute elements that authenticate a work of art as an artistic and a literary work. They as well endow a literary work with the quality that makes it serve a corrective purpose.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".