Employing a sophisticated digital humanities approach, Dr. Ashkenazi's project leverages the capabilities of advanced language models to probe the influence and presence of these literary communities. His methodology includes three stages, beginning with an analysis of literary signatures, utilizing analytical tools such as Stylo, Antconc, and GloVe to unearth stylistic and thematic clusters; followed by an examination of the literary mechanisms employed by writers communities, which guide the processes of literary creation and interpretation; lastly, he synthesizes these empirical findings in order to reconstruct the creative process inherent in literature and harnessing language models like GPT-4 or AI21 for the reverse-engineering of the literary trajectories of these communities.
The import of this project is manifold, promising to shed light on the symbiotic relationship between literary communities, writers, readers, and their respective environments. Furthermore, it aims to provide nuanced insights into the evolution and shaping of modern Hebrew literature, underpinned by the sociopolitical dynamics of the era.
