Measuring Semantic Deviation: Operationalizations, Experiments, and Falsification Conditions for a Theory of Meaning as Field Deformation
Nobel Glas · 2026 · Zenodo (CERN European Organization for Nuclear Research)
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
EA-GLAS-02 v1.0. A self-contained empirical white paper presenting the measurement program for the Semantic Deviation Principle (Sharks 2026). Defines meaning as the time-integrated divergence a sign induces from the most probable trajectory of a semantic field, extending the Bar-Hillel and Carnap (1953) program into distributional and temporal domains. Two primary operationalizations. (F1) Closed-system trajectory deviation within a frozen language model, where the counterfactual baseline is read from logits, building on surprisal theory (Hale 2001; Levy 2008) and decomposing it into signed d
Abstract by Nobel Glas, Zenodo (CERN European Organization for Nuclear Research) (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.5281/zenodo.20271783