MORPHODYNAMIC Narrative ARCHITECTURE: A Stand-Alone Derivational Theory of Oscillation, Pacing, and Reader Response

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Bol Morphodynamic Narrative Architecture is a high-novelty theoretical monograph that proposes a derivational engine for narrative structure. Its central claim is that narrative type, pacing, coherence, genre-attractor behavior, and reader response are generated by oscillation between Narrative Collapse and Narrative Refinement over a four-axis Narrative Domain. The book's formal center is the Narrative Oscillation Theorem, which links oscillation frequency, amplitude, stability, and interface legality to narrative classification and reader-response predictions. The book is important because it changes the explanatory unit of narratology. It moves the field from descriptive labels to operation-domain geometry. It also introduces an empirical and computational research program capable of testing narrative predictions through reader-response experiments, annotation reliability, classifier performance, literary audits, and reproducibility protocols. The result is a proposed foundation for scientific narratology: rigorous enough for formal theory, empirical enough for cognitive and computational research, and flexible enough to remain useful for literary criticism, pedagogy, and narrative design.

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Morphodynamic Narrative Architecture is a high-novelty theoretical monograph that proposes a derivational engine for narrative structure. Its central claim is that narrative type, pacing, coherence, genre-attractor behavior, and reader response are generated by oscillation between Narrative Collapse and Narrative Refinement over a four-axis Narrative Domain. The book's formal center is the Narrative Oscillation Theorem, which links oscillation frequency, amplitude, stability, and interface legality to narrative classification and reader-response predictions. The book is important because it changes the explanatory unit of narratology. It moves the field from descriptive labels to operation-domain geometry. It also introduces an empirical and computational research program capable of testing narrative predictions through reader-response experiments, annotation reliability, classifier performance, literary audits, and reproducibility protocols. The result is a proposed foundation for scientific narratology: rigorous enough for formal theory, empirical enough for cognitive and computational research, and flexible enough to remain useful for literary criticism, pedagogy, and narrative design.


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Merk Eliva Press
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  • 9789999344685
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