Load-Bearing Threshold Risk and Structural Attenuation in Nested Systems

Representations can remain legible and internally coherent while losing contact with the states they summarize. In nested institutions, artifacts often move through layered pipelines that compress uncertainty, drop boundary conditions, and weaken binding constraints. Stress accumulates under that attenuation and becomes visible only when ordinary perturbations become decisive. This paper proposes a way to model this risk. Structural Attenuation Risk Assessment (SARA) treats abrupt regime shifts as threshold crossings at decision interfaces. At a node, interpretive pressure varies over time and competes with epistemic headroom. A crossing occurs when pressure exceeds headroom, forcing premature compression into crisp artifacts. Crossings matter unevenly because some nodes are load-bearing, meaning that small degradations there disproportionately change whether misalignment amplifies or damps at the system level. SARA combines Structural Distance Theory (SDT), a threshold model of premature compression summarized as a Kairos Probability (KP), Load-Bearing Node Theory (LBNT), a coupled-drift regime layer from Relational Systems Theory (RST), and a domain layer that sharpens headroom by tracking whether binding constraint families remain representable where consequential closure occurs. The resulting diagnostic ranks drift-critical nodes, reveals concentration of risk, and supports targeted controls that reduce distance, build capacity, increase domain adequacy, and damp pressure where closure matters.