Epistemological Orchestration over Language Models: A Functional Architecture with Preliminary Evidence

Current applications of large language models to complex analytical tasks typically operate under a single inferential regime, which tends to produce structural convergence across systems and outputs. This technical note proposes a functional architecture for orchestrating heterogeneous epistemological frameworks over language models, in which distinct reasoning regimes interact through a shared canonical interface and a restricted family of typed transition operators. The architecture includes a formal criterion for distinguishing genuine inter-framework emergence from surface thematic overlap or output continuity inherited from prior framing. Preliminary evidence is presented from a multi-model validation study across four generative systems from distinct architectural families, showing structural convergence in framework outputs under shared orchestration constraints, together with a documented case of inter-framework emergence with complete result traceability. Results are presented at the level of functional architecture rather than reproducible technical specification. This note establishes existence, operating principle, and preliminary evidence as a foundation for subsequent full empirical validation.