Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research

In three linesPEEL is a methodological framework combining deterministic analysis (Voyant Tools) and Claude interpretation to assess LLM epistemic accountability in research. Applied to AI-generated summaries, it reveals systematic distortions invisible without non-AI measurement and proposes three implications: instrument AI tools, distinguish fluency from fidelity, design epistemic authority.

Summary generated by Claude — human-verified