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 "title": "Measuring Semantic Deviation: Operationalizations, Experiments, and Falsification Conditions for a Theory of Meaning as Field Deformation",
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 "orcid": "0009-0000-1599-0703",
 "date": "2026-05-18",
 "description": "A research-program paper operationalizing the Semantic Deviation Principle for external replication. It specifies two executable regimes—closed-system deviation in a frozen language model and prospective retrieval-response deviation across public AI surfaces—and describes citation-graph deviation as a slower third regime.\n\nThe paper derives signed per-token deviation as a tractable local proxy, proposes a falsifiable human-versus-AI text comparison, and designs a Direct Preference Optimization experiment using deviation-derived preference pairs. Six anti-Goodhart protections, frozen models and datasets, statistical procedures, pre-registration requirements, and a twelve-month budget of approximately $14,000–$19,000 are specified. The record defines experiments and predictions; it does not report their execution or results.",
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