Analyses of complex systems frequently suffer from premature transitions from observation to explanation or intervention, resulting in fragile causal claims and inconsistent outcomes. This paper introduces Structural Engineering as a pre-analytical lens designed to stabilize analysis prior to theory selection, normative judgment, or solution design. Rather than proposing new explanatory models or prescriptive frameworks, Structural Engineering focuses on identifying causal-generating configurations—structural arrangements under which causal relationships emerge, persist, or collapse. The lens operates by constraining analytical operations, explicitly separating structural persistence from content variation, and preventing the premature collapse of structural observation into interpretation or action. The framework is applicable across individual, organizational, and societal scales, and is intentionally positioned upstream of domain-specific theories, policy models, or decision-making processes. By making structural assumptions explicit before conclusions are drawn, Structural Engineering enables downstream analyses to engage with complexity without erasing the configurations that generate it. This paper presents the core principles, permissible operations, usage patterns, and failure modes of the lens, and situates it as a shared analytical baseline rather than a comprehensive theory. The contribution lies not in the answers produced, but in the analytical conditions enforced for causal reasoning in complex systems.
Cross AI 合同会社 (Thu,) studied this question.