The Foundational Structure of Narrative Science: Tone as an Epistemic Operator, Failure Classification, and Boundary Breakdown

This paper contributes to the development of Narrative Science by introducing tone as an epistemic operator within narrative systems. Rather than treating narrative as content or representation, this study conceptualizes narrative as a system whose stability depends on underlying tonal operations. Within this framework, tone is not a stylistic feature but a structural variable that governs how narratives are formed, stabilized, and classified. The paper develops a taxonomy of epistemic failure patterns—provenance collapse (FP-1), governance abstraction (FP-2), and interpretive overreach (FP-3)—and demonstrates that identical events produce systematically different narrative classifications under different tone configurations. Through comparative, event-centered analysis across geopolitical, artificial intelligence, and synthetic media contexts, the study identifies a progression from classification stability to drift, and ultimately to breakdown. This progression reveals a structural boundary in narrative systems, beyond which classification itself becomes non-convergent. The paper further introduces shared reality collapse (FP-4) as a boundary condition, not as a standard category, but as an indicator that the conditions required for narrative stabilization no longer hold. By repositioning tone as an operator within narrative systems, this study establishes a foundational framework for Narrative Science: a field concerned not with stories, but with the conditions under which narratives become stable, unstable, or collapse.