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Record W3198177228 · doi:10.1353/jeu.2021.0005

Le rire : formes et fonctions du comique dans la fiction africaine pour la jeunesse

2021· article· fr· W3198177228 on OpenAlexvenueno aff
Kodjo Attikpoé

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Cet article étudie les différentes manifestations du comique ainsi que leurs fonctions dans quatre œuvres fictionnelles pour la jeunesse en Afrique : l'album <i>Tout Rond</i> de Fatou Keïta et les romans <i>Les confidences de Médor</i> de Micheline Coulibaly, <i>Pain sucré</i> de Mary Lee Martin-Koné et <i>Awa la petite marchande</i> 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: <i>This article examines the different manifestations of the comic and their functions in four African fictional works of children's literature: the picture book</i> Tout Rond <i>by Fatou Keïta and the novels</i> Les confidences de Médor <i>by Micheline Coulibaly</i>, Pain sucré <i>by Mary Lee Martin-Koné, and</i> Awa la petite marchande <i>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</i>.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.222
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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