Features and Adaptation of Hybrid Information Technologies in Contemporary Literary Criticism under Complex and Dynamics Conditions: Navigating Turbulence, Uncertainty and Systemic Risks within SHIVA-philology

Abstract

The article explores the specifics, features and directions of adapting hybrid information technologies to modern literary studies in conditions of turbulence, uncertainty and systemic risks. The potential of SHIVA-philology is substantiated as an integrative model that combines traditional literary interpretation with artificial intelligence, machine learning, natural language processing, big data analysis, knowledge graphs and generative technologies. The principles of hybridization and adaptive application of intelligent technologies for multi-level analysis of a literary text are determined. The prospects for the formation of intellectual platforms that ensure scalability, clarity and sustainability of modern literary studies are shown.