Empirical Application of SignalRupture: A System‑Level Analysis of Ontario Public Healthcare — Field Paper II applies the SignalRupture framework to a high‑pressure public service system to evaluate whether SR’s structural sequence can be observed without interpretive forcing. Using the SR Field Manual and Dashboard, the paper maps six core signatures—latency persistence, policy churn, buffer compression, automation under strain, downward regulation, and fragmentation—onto the Ontario public healthcare system across a decade of rising complexity. The analysis shows that demographic aging, chronic disease burden, post‑pandemic backlog accumulation, workforce shortages, and administrative expansion have produced a persistent elevation in system strain. With an SRI score of 16/18, the system operates in a Structural SR State, characterized by normalized delays, depleted buffers, inconsistent outcomes, and compensatory reliance on digital triage and telehealth. This case does not claim universal validation of SR, but it demonstrates that SR can function as an operational diagnostic architecture when applied to real‑world institutional environments.
Signal Rupture (Fri,) studied this question.