PEEL is proposed as a semiotic scaffolding combining deterministic distant reading and LLM analysis to reveal systematic distortions in quantity, term frequency, and epistemic voice within AI condensations of research texts.
Hobbs, Mark Stickel, Paul Martin, and Douglas Edwards
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Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research
PEEL is proposed as a semiotic scaffolding combining deterministic distant reading and LLM analysis to reveal systematic distortions in quantity, term frequency, and epistemic voice within AI condensations of research texts.