THE CONTEXT-CONDITIONED SYSTEMIC RESPONSE-ASYMMETRY THEORY

Why can a comparatively small policy change generate intense public protest in one system, while a much more severe crisis produces limited or barely observable public protest in another? This manuscript proposes the Context-Conditioned Systemic Response-Asymmetry Theory (CCSRAT) as a multilevel, context-sensitive framework for investigating this discrepancy. The theory is developed around a primary comparative case: the Civic Funding-Shock Response-Asymmetry Case (CFSRA). In the hypothetical case, a relatively affluent state experiences intense public mobilization following a modest reduction in public-service funding, whereas a poorer, chronically crisis-affected state experiences weaker observable public mobilization despite more severe material hardship. The comparison is a theoretical problem specification, not an empirical assertion about any named country.The central proposition is that the magnitude of a systemic shock and the magnitude of its observable response are distinct quantities. Their relationship may depend on historical and functional baselines, expectation gaps, information, interpretive processes, perceived injustice, accumulated grievance, normalization, resources, organizational capacity, political opportunities, perceived risks, alternative response channels, and the observation process itself.The proposed architecture contains eighteen analytical layers, nine core mechanisms, ten conceptual axioms, seventeen supporting disciplinary domains, and fourteen testable hypotheses. It specifies preliminary mathematical models for funding changes, multidimensional crisis severity, reference gaps, latent grievance, participation capacity, observable response, cross-system asymmetry, measurement uncertainty, and recursive system dynamics.The manuscript also defines operationalization requirements, comparative research designs, model-validation procedures, boundary conditions, competing explanations, falsification criteria, ethical safeguards, and a staged empirical research roadmap. No empirical dataset is analyzed here, and no numerical simulation result or universal causal law is claimed. The framework's scientific contribution must be evaluated through measurement, model comparison, independent replication, and empirical testing against existing explanations.Keywords: systemic response asymmetry; contextual baselines; public-service funding; relative deprivation; latent grievance; protest participation; response capacity; political opportunity; multichannel feedback; system dynamics; causal inference