Le rire : formes et fonctions du comique dans la fiction africaine pour la jeunesse
Bibliographic record
Abstract
Cet article étudie les différentes manifestations du comique ainsi que leurs fonctions dans quatre œuvres fictionnelles pour la jeunesse en Afrique : l'album Tout Rond de Fatou Keïta et les romans Les confidences de Médor de Micheline Coulibaly, Pain sucré de Mary Lee Martin-Koné et Awa la petite marchande de Nafissatou Niang Diallo. Il part de l'idée que l'inscription du rire dans la littérature d'enfance et de jeunesse participe de sa dimension didactique, mais produit également une expérience esthétique. À travers l'analyse des rires moqueurs des personnages, il met particulièrement en évidence des conditions dans lesquelles la dérision apparaît légitime, inévitable, excluant l'Autre ou révélatrice de la profondeur du psychisme humain. Abstract: This article examines the different manifestations of the comic and their functions in four African fictional works of children's literature: the picture book Tout Rond by Fatou Keïta and the novels Les confidences de Médor by Micheline Coulibaly, Pain sucré by Mary Lee Martin-Koné, and Awa la petite marchande by Nafissatou Niang Diallo. It stems from the notion that laughter is inscribed into children's and young adult literature for didactic purposes, but that it also produces an aesthetic experience. By analyzing characters' mocking laughter, it highlights the conditions under which derision appears legitimate, inevitable, exclusionary, or revealing of the depths of the human psyche.
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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 | 0.008 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".