A Framework for Measuring Semantic Dynamics in Human–AI Interaction
The Semantic Relativity Theory (TRS) is an independent research framework that explores how meaning deforms, shifts and stabilizes within human–machine communication.
It provides formal constructs—including CHORDS⁺, Code-Switching (CS), the Index of Paraphrastic Resistance (IRP), and the DCS/CNO field model—to analyze semantic drift, interpretive uncertainty, and the stability of meaning under probabilistic systems such as Large Language Models.
TRS integrates mathematical formalisms, epistemological structure, and empirical validation through documented experiments and published DOIs.
Its purpose is not commercial: it is a scientific effort to understand, describe and measure how meaning behaves in complex, adaptive, and algorithmic environments.
This site serves as the official reference space for the theory, its publications, and its ongoing evolution.