ESCT v9.6: A Multi-Scale Interpretive Framework for Emergence Dynamics — Resolving the EEG Calibration Gap (OP9) via Literature-Grounded noisecritical Mapping

ESCT v9.6 establishes a multi-scale interpretive framework unifying three previously independent formulations of the Entropy-Structured Consciousness Theory: v9.5 (microscale bistable dynamics), v9.4 (mesoscale frequency-domain filtering), and v8.1 (macroscale whole-brain competitive ignition). A brute-force distillation test across 36 parameter conditions demonstrates that the three formulations are complementary descriptions of consciousness emergence at distinct spatiotemporal scales, not equivalent projections of a common parent manifold. This supplement resolves Open Problem 9 (OP9), the framework’s primary limitation since v7.1: the dimensionless noise_critical parameters (0.052, 0.123, 0.490) lacked correspondence to measurable EEG power spectral density (PSD) in physical units. A calibration formula is derived from existing v8.1 parameters without introducing new free parameters: noise_model = sqrt(PSD_uV2/Hz) / 20.0, where PSD_ref = 20.0 uV2/Hz [Niedermeyer 2005]. Applying this calibration, all three falsifiable predictions of v9.6 fall within literature-reported EEG PSD ranges: T3 (macroscale collapse) predicts 1.08 uV2/Hz, consistent with awake background noise [Purdon 2013]; T2 (mesoscale collapse) predicts 6.05 uV2/Hz, consistent with beta desynchronization at loss of consciousness [Purdon 2013]; T1 (microscale collapse) predicts 96.0 uV2/Hz, consistent with deep anesthesia slow-wave onset [Suzuki & Larkum 2020]. The predicted temporal ordering T3 < T2 < T1 is confirmed against Purdon 2013 representative values. No new equations, magic numbers, or open problems are introduced. OP9 is closed. The framework is now positioned for direct validation against the Purdon 2013 dataset (PhysioNet doi:10.13026/C2CC73). Qualia ∉ Domain(Ĉ(ω,t)) — The Hard Problem is not solved. It is precisely bounded.