Biography
Leila Nebeg is a Doctoral Candidate in General and Comparative Literature at El Cherif Bouchoucha University Center, Algeria, and works as a part-time contract Assistant Lecturer at Amar Telidji University of Laghouat, Algeria. Her academic and research interests encompass comparative literature, postcolonial studies, trauma studies, narrative theory, reader-response theory, and interdisciplinary approaches to literary analysis. Her work explores the ways in which literary texts represent trauma, memory, identity, and cultural experience across diverse historical and social contexts. She is particularly interested in examining how fragmented narrative structures and experimental forms function in postcolonial fiction and how such strategies shape readers’ interpretations and engagement with literary texts. Her research also investigates the relationship between literary representation and broader cultural, social, and theoretical frameworks, drawing on interdisciplinary perspectives that connect literature with philosophy, psychology, cultural studies, and critical theory. She has participated in multiple academic activities and conferences related to literary, cultural, and pedagogical studies. Her current research focus include trauma representation, narrative fragmentation, memory studies, reader engagement, and interdisciplinary approaches to contemporary literary analysis.
Conference contributions 1
FRAGMENTED STORYTELLING AS CONTEMPORARY COMMUNICATIVE PRAXIS:
Narrative coherence in literary and AI discourse
Moving beyond positioning fragmentation as purely aesthetic or postmodern narrative technique, this paper re-conceptualizes fragmented storytelling as a form of communicative praxis that exhibits structural affinities with AI-generated discourse. this study opts to reformulate it as a communicative form that can parallel transformer-based language systems. Through transformer-based probabilistic language generation (Vaswani et al.,2017), meaning production, transmission, and negotiation become increasingly legible. Drawing on narrative theory, particularly the structuralist and post-structuralist insights of Gérard Genette and Ronald Bathes, the paper highlights how fragmentation redistributes meaning across dialogic spaces of discontinuous textual units, requiring active reader participation and interpretive plurality (Barthes, 1977; Genette, 1980). To support this aim, the study employs a qualitative comparative approach combining close reading and discourse analysis. The literary corpus consists of the novel House of Leaves (2000) by Mark Z.Danielewski, selected for its nonlinear textual authority. The analysis first inspects how fragmentation operates within the novel to form meaning. It then parallels these structural characteristics to observed short narratives generated by transformer-based language models, with attention to patterns of coherence formation, semantic discontinuity, and contextual dependency. Importantly, the study does not assert direct correlation between literary and computational systems. Rather, it structurally identifies how both systems operate in producing meaning. Ultimately, the paper argues that fragmentation offers a critical framework for understanding how meaning circulates within contemporary AI-generated discourse. By bridging literary analysis with emerging communicative computational paradigms, this study illuminates the ongoing shifts in the epistemology of communication with an interdisciplinary and technologically mediated contexts.