Using Instruction-Tuned Large Language Models to Identify Indicators of Vulnerability in Police Incident Narratives

LLMs can substantially reduce resource requirements for analyzing large narrative datasets, whilst enhancing coding specificity and transparency, and enabling new approaches to replication and comparative analysis. These advances present promising opportunities for criminology and related fields.