An automated predictive model for evaluating narrative cohesion in children’s stories: a computational linguistic approach considering Gérard Genette’s narrative structure theory
This study develops a machine learning model to predict narrative cohesion in children’s stories, classifying cohesion as complete, partial, or absent, using Gérard Genette’s narrative structure theory as a framework. It analyzes both human-created and AI-generated stories, including those from Chat...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Adolescence and Youth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/02673843.2025.2500527 |
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