A Generative Quasiperiodic Framework for Emergence, Measurement, and Regime Transitions

This paper develops an interdisciplinary, operational framework in which a single generative process produces different observable behaviors depending on (i) a stability/damping parameter and (ii) the measurement projection used to obtain data. The goal is not immediate numerical prediction, but a consistent pipeline from generation to measurement to testable signatures.