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Other ORP type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2026
License: CC BY
Data sources: Datacite
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From Social Pathology to Algorithmic Modeling: A Re-reading of Bovary, Karenina, and Chatterley in the Age of Artificial Intelligence

Authors: Waël, Hassan Ashry;

From Social Pathology to Algorithmic Modeling: A Re-reading of Bovary, Karenina, and Chatterley in the Age of Artificial Intelligence

Abstract

Cet article propose une relecture interdisciplinaire de trois figures emblématiques de la littérature mondiale — Emma Bovary, Anna Karénine et Constance Chatterley — à travers le prisme des humanités numériques et de l'intelligence artificielle (IA). Historiquement perçues comme des études de cas de « pathologie sociale », les trajectoires de ces héroïnes sont ici réexaminées sous l’angle de la modélisation algorithmique. L’étude explore comment les systèmes de contraintes sociales du XIXe et du début du XXe siècle fonctionnent comme des algorithmes de contrôle comportemental, où la transgression (l'adultère, la rupture de classe) apparaît comme une anomalie statistique au sein d’un environnement clos. En utilisant les concepts du traitement automatique du langage naturel (NLP) et de l'analyse prédictive, nous analysons si la « mécanique du désir » et la chute tragique peuvent être modélisées comme des ruptures de patterns de données.L'article interroge également les limites de l'IA : la machine peut-elle saisir l'irrationalité du sacrifice tragique, ou est-elle condamnée à reproduire les biais puritains des censeurs d'époque ? En confrontant le déterminisme sociologique de Flaubert, Tolstoï et Lawrence à la logique binaire de l'IA, cette recherche souligne la tension entre la prévisibilité des comportements sociaux et l'irréductible singularité du désir humain.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average