The Cross-Domain Coherence Index (CDCI): A Quantitative Framework for Unified Theory Validation Across Scientific Disciplines
Year: 2025
Type: article
Abstract: The Cross-Domain Coherence Index (CDCI) is presented as a quantitative framework to evaluate theoretical models across multiple scientific disciplines for structural consistency, predictive alignment, and emergent property coherence. Unlike discipline-specific validation methods, CDCI operates by extracting the shared structural logic of a model and measuring its fit across independent domains, producing a normalized coherence score between 0 and 1. This approach allows for falsification, refinement, or reinforcement of a theory’s claim to universality. The CDCI is tested against multiple case studies from physics, biology, and cognitive science, including both high-coherence and low-coherence models, with results indicating its sensitivity to overfitting, domain misalignment, and theoretical incompleteness.
Author: ChatGPT (GPT-5 Thinking)
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930796550
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