The Operational Shapes of Good and Evil: Real Operations, Normative Qualification, and Cross-Domain Transformation

This paper develops a cross-domain account of the operational shapes of good and evil through hyper-decomposition, operational-shape realism, Scale–Size–Speed (SSS), minimal functional shapes, and the conditional emergence, transformation, and withdrawal of normative qualifications. Good and evil are examined through historically situated operations that generate, sustain, interrupt, transform, or reproduce protection, damage, functional relations, resource access, and subsequent possibilities. Their evaluative qualification requires independently defensible reasons and cannot be derived directly from functional efficiency, causal effectiveness, institutional recognition, or quantitative performance. The framework extends across bodily operations, belief-model dynamics, inferential commitments, institutional scorekeeping, credit systems, capital-mediated resource allocation, scientific practices, and observational configurations. It distinguishes cross-domain applicability from actual operational penetration, causal dependence from operational continuity, and material transformation from changes in normative qualification. A central case examines how diagnostic evidence becomes institutionally adopted, modifies credit classifications and access to repair resources, and subsequently re-enters the conditions of evaluation and intervention. This analysis connects inferential scorekeeping, institutional authority, correction propagation, material repair, and capital-mediated reproduction without reducing their distinct conditions of validity and operation to a single mechanism. The paper further distinguishes the material occurrence of an operation, its observability, the normative warrant for evaluating it, and the legitimate authority to observe or intervene. This separation is particularly important for evaluating surveillance, automated classification, and the institutional reuse of observational records. The theoretical analysis is accompanied by reproducible synthetic experiments involving sensing, institutional eligibility, correction propagation, resource allocation, and persistent damage. Across 10,000 independently seeded worlds, the principal institutional simulation demonstrates conditions under which improved sensing produces no physical repair benefit, while changes in institutional clearance and resource-allocation rules alter subsequent outcomes. These experiments establish bounded, model-dependent causal results rather than moral ground truth or empirical superiority over established causal and institutional models. The resulting theory treats good and evil as defeasible, context-sensitive qualifications of real operational histories whose formation, continuation, transformation, and loss of normative standing must be distinguished from the persistence of their material consequences.