Narrative as universal cognitive engine: structuring a transdisciplinary methodology through the NarrQuest system and ebook distribution practice
This paper introduces the Narrative Engine Methodology (NEM) as developed through the NarrQuest system—a transdisciplinary framework that reframes narrative not as content but as infrastructure for cognition, diagnosis, and systemic intervention. Grounded in five recursive mechanisms—Tone-Based Diagnosis (TBD), Anti-Template Narrative Recomposition (ATNR), Tone-Based Peer Review (TBPR), Narrative Canonization Protocol (NCP), and Tone-to-Destiny Modeling (TDM)—the methodology constructs a recursive architecture of narrative sovereignty. By replacing template-driven writing with modular, tone-indexed expression, NEM offers a transformative path for authorship, peer evaluation, and future-mapping. Through case demonstrations on eBook publishing logistics and pricing via Pubu and Amazon KDP, this paper illustrates how narrative methodology can directly inform operational design, market strategy, and digital authorship infrastructure. The findings suggest that narrative, when modularized and structurally interpreted, is not merely expressive—it becomes computationally actionable. This signals a paradigm rupture, where story is not just what we tell, but how we solve.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-07
- DOI
- https://doi.org/10.5281/zenodo.15765784
- Primary Topic
- Publishing and Scholarly Communication
- Type
- article
- Field-Weighted Citation Impact
- 0.00