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Record W2888079959 · doi:10.5206/mf.v3i1.4911

Aspects d’oralité dans l’écriture romanesque d’Alain Mabanckou

2018· article· fr· W2888079959 on OpenAlexvenueno aff
Patrick Armand Ouadiabantou

Bibliographic record

VenueMouvances Francophones · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPerversionPhilosophySociology

Abstract

fetched live from OpenAlex

L’objectif principal de cet article est de montrer, à partir d’illustrations tirées des romans African Psycho, Verre Cassé, Mémoires de porc-épicet Black Bazard’Alain Mabanckou, que l’oralité influe profondément sur l’orthographe. Cet auteur transcrit les sons dans le tissu textuel de ses romans. À l’ère de nouvelles technologies de l’information et de la communication, mieux de l’internet, rendu performant par la structuration de la fibre optique, l’envoi des messages (sms) téléphoniques consacre un culte à la perversion orthographique dans les structures phrastiques. Cette tendance à travestir l’orthographe, de plus en plus répandue chez les auteurs francophones, présage une variété de langue française affranchie des normes rigoureuses qui, jusqu’ici, l’ont régie, comme le signale Charles Bally (1932; p. 25 ) : « Il y a une pathologie linguistique qui est une exagération du fonctionnement normal » du français. Le français moderne est-il vu comme une langue peu rigoureuse, moins surveillée donc licencieuse?

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.252
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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