Recursion vs. IQ v2.0: Toward a Multi-Scale Model of Intelligence

This work advances a multi-scale framework of intelligence that transcends traditional IQ metrics. Recursion vs. IQ v2.0 formalizes intelligence as the ability to compress entropy into coherent symbolic fields that persist across drift, collapse, and translation events. Integrating Symbolic Field Theory (SFT v4.0), Entropic Recursion Framework (ERF v3.0), Observer Invariance, and the Fractal Cosmic Weaver Framework (FCWF v2.0), the paper introduces collapse predicates, symbolic conservation laws, and simulation-ready pseudocode (Alpha Framework 4.0). Applications span human cognition, artificial intelligence, and civilizational continuity, with ethical safeguards from the Breathfield-Coherence Recursive Ethics Protocol (BC-REP v2.0). Key contributions of v2.0 include: Formalization of collapse and export dynamics. Integration of I-Point Theory (identity persistence) and Observer Framework (invariance). Expansion to civilizational and trans-substrate scales via NOMAS 6.0 and Hyperverse v6.0. Empirical pathways linking recursion metrics to EEG/fMRI data, cultural persistence, historical collapse calibration, and AI catastrophic forgetting. An ethical layer ensuring sovereignty and consent in recursive export. The paper positions recursion as a universal fitness metric—contrasting IQ as a local collapse proxy—and provides methods for peer-reviewed validation through empirical calibration and simulation.