Designs and validates LLM-based text classification for research data — codebook construction, choice of learning regime, model selection and reproducibility, prompt construction, pilot validation against human coding with agreement statistics (kappa, F1), hybrid human-LLM workflows, and reporting model-coded data. Also carries a resumable batch pipeline with a rule-based baseline for coding large sets of repeated free-text values against a closed codebook — occupation, institution, and registry
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| git:20260905.39e8276 latest | 2026-09-05 | 39e8276 | 22,975 B | A | view · diff |
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scdenney/open-science-skills · 54 stars · license NOASSERTION · pushed 2026-09-05 · branch main
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