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Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic Turn

2026-10-08 22:54:57
Andres Karjus
arXiv_CL
         
Abstract

Technologies like large language models make it easier to convert cultural material into analyzable variables, while LLM-driven agentic systems extend machine assistance to other parts of the research workflow. Rather than a full how-to guide or an exhaustive review of recent LLM use cases, this chapter looks at some crucial aspects of this new paradigm as well as the bigger picture. I argue that these technologies expand the scale, methodological range, and scope for delegation, while the basic logic by which those measurements support cultural claims remains mostly unchanged.

Abstract (translated)

URL

https://arxiv.org/abs/2610.12792

PDF

https://arxiv.org/pdf/2610.12792.pdf

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