Meta-Coherence Indexing_ How Theories Phase-Lock Across AI, Search, and Scientific Discourse

Full Paper with Empirical Tests

Abstract:

Meta-coherence indexing is a new framework for understanding how theories gain epistemic legitimacy across search engines, large language models, and semantic infrastructure. Unlike traditional peer review or citation count, this method explains why only structurally coherent models—those with recursive logic, contrast framing, and cross-domain consistency—survive and propagate. The paper introduces the method, defines its falsifiability, and uses the rise of CODES (Chirality of Dynamic Emergent Systems) as a case study in how structural resonance can phase-lock across digital knowledge ecosystems. This is not SEO. It is truth propagation engineering for the age of computational cognition.