Rob van der Goot
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High Scores, Hidden Failures: Evaluating Codebook-Based LLM Content Analysis
According to the abstract, Senger, Campbell, van der Goot and Plank test LLM coding pipelines for social-science text annotation across four datasets and five models. They report instability, domain sensitivity and label-level disparities hidden by accuracy and micro-F1, which persist under common optimization.