Los LLM y la codificación en la investigación cualitativa: avances y oportunidades para Social Verbatim como herramienta integral cualitativa
DEBATE: Más allá del Big Data: IA Generativa y LLMs como nuevas tecnologías digitales para el análisis de la realidad social
DOI:
https://doi.org/10.54790/rccs.176Palabras clave:
modelos de Lenguaje de Gran Escala (LLM), codificación cualitativa, Inteligencia Artificial Generativa (IAG), investigación cualitativa, ciencia abierta, análisis cualitativoResumen
Este artículo explora el uso de Modelos de Lenguaje de Gran Escala (LLM) en la codificación cualitativa, destacando avances y oportunidades para la herramienta Social Verbatim. Se revisan los fundamentos de los LLM, su arquitectura y el impacto del hardware en su desarrollo. Además, se analizan aplicaciones específicas de los LLM en la investigación cualitativa, incluyendo la codificación temática y el análisis comparativo. Se abordan los desafíos metodológicos, éticos y epistemológicos, y se proponen estrategias para mitigar estos problemas. Finalmente, se discuten las implicaciones de la integración de LLM en herramientas como Social Verbatim, subrayando la importancia de la transparencia y la colaboración humano-máquina en la investigación cualitativa.
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Derechos de autor 2026 Juan Miguel Gómez Espino
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