Toward a Structural Measurement Framework for Whole-Body Human Coherence: A Tri-Domain Dynamical Model of Physiological, Interior, and Identity Alignment

This working paper introduces a structural coherence measurement architecture in which human functioning is represented as a dynamical system evolving across three interacting domains: physiological state, interior cognitive-emotional state, and identity trajectory. Coherence is defined as an observable system state emerging from the alignment of these domains, formally expressed as C (t) = f (Cbio, Cᵢnt, Cᵢd) within a state-space formulation governed by dC/dt = F (C, L, E). The framework provides a measurement geometry for observing alignment dynamics, drift accumulation, seam-level instability, and rupture propagation across individuals, organizations, institutions, and populations. Drawing on principles from dynamical systems theory, cybernetics, ecological resilience research, and engineering stress analysis, the architecture is designed to complement existing domain-specific instruments in medicine, psychology, and organizational science rather than replace them. Key structural contributions include: a tri-domain coherence state vector with explicit constraints on the dynamical operator F; seam-level instability classification across three domain interfaces; ripple propagation modeling across five organizational scales; an ecological resilience parallel connecting coherence drift to critical slowing down signals; and a simulation architecture supporting both coherence trajectory modeling and network-level propagation studies. Illustrative applications are developed across healthcare system stress analysis, institutional failure dynamics (Enron case study), and cross-domain symmetry spanning corporate, clinical, military, and population contexts. A call to action identifies twenty-five specific domains where the coherence engine is structurally ready for collaborative application and empirical validation. The companion instrument — the National Hospital Portfolio Drift Instrument (NHPDI) — is available at https: //doi. org/10. 5281/zenodo. 18736503.