
Professional Summary This paper introduces Enkaranna Abku (E-A) as a falsifiable failure-signature classification for a specific collapse condition in complex socio-technical systems. The classification identifies situations in which unresolved systemic load exceeds a system’s capacity for distribution, leading to routing exhaustion and the forced concentration of unresolved load into a narrow interface under bounded total flow. The contribution is explicitly diagnostic rather than prescriptive. It does not propose interventions, optimization strategies, governance models, or corrective actions. Instead, it specifies necessary and sufficient conditions for retrospective classification, supported by system-level observables, formal boundary constraints, and explicit falsifiers. Abstract constructs such as unresolved load and routing capacity are treated as classificatory variables and rendered auditable through operational proxies including routing collapse, flow concentration, and distributional entropy reduction. The specification emphasizes strict separation between system-level failure and individual attribution. It explicitly rejects interpretations that moralize, valorize, or stabilize concentrated load-bearing as resilience, role, or identity. Normative assumptions are declared, bounded, and confined to the governance layer; they are not required for classification validity. Enkaranna Abku is positioned within a broader collapse spectrum as a transient failure-signature that appears after overload and crisis centralization but prior to terminal or identity-coupled collapse. The framework is designed to be falsifiable, misuse-resistant, and obsolescent, with relevance diminishing as systems improve their capacity to distribute and resolve load without collapse. The paper contributes a narrowly scoped but rigorously defined classificatory tool intended to support post-hoc analysis, comparative failure studies, and audit-based evaluation of systemic collapse without converting diagnosis into prescription or narrative justification.
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