When Uncertainty Becomes Burden: Collapse Morphologies, Premature Closure Cascades, and the Discipline of Non-Collapse

This manuscript introduces the Premature Closure Cascade as a cross-domain failure-and-repair morphology. The argument does not claim that health access denial, diagnostic error, clinical AI drift, root cause analysis failure, public misinformation, market collapse, and war-consent narratives share a single cause, substrate, or moral status. It argues more narrowly that a recurring operational sequence can appear when systems operating under degraded observability resolve uncertainty too early, substitute a proxy or narrative for an unresolved state, amplify that substitute through action, lock into the substitute, delay correction, and shift repair burden onto affected participants or later publics. The manuscript is written as a standalone morphology demonstration. It uses a native-terms-first method: each domain is first described in its own disciplinary vocabulary before being mapped into the shared lexicon of low observability, premature closure, proxy substitution, amplification, lock-in, correction latency, burden externalization, and trust debt. Four proof packets form the core evidentiary body: health access and denial, diagnostic premature closure, clinical AI drift, and institutional root cause analysis/corrective-action failure. An extended coded atlas then tests the morphology across public-health, legal, engineering, market, intelligence, and narrative-proxy cases. The contribution is methodological and diagnostic. It offers a disciplined lexicon for identifying when uncertainty becomes durable burden, and it specifies non-collapse rules that prevent proxies, representations, and corrective actions from being mistaken for the states or repairs they only partially represent. C077UPTF1L3 / CWCopeland