InflectAI, Inc.

Radiant Collaboration Abstract

The Five Engines of Narrative

Can narrative satisfaction and climax quality be predicted by underlying action-structure rather than plot taxonomy, genre, or emotional valence alone?

  • Domain: Narratology and cognitive humanities
  • Status: Collaboration abstract
  • Full draft: available to qualified collaborators on request

Abstract

Narrative theory has produced many useful taxonomies: folktale functions, monomyths, basic plots, story shapes, screenwriting beat sheets, and computational emotional arcs. These frameworks often classify surface patterns: event sequence, character fortune, genre convention, or emotional valence over time. This project asks whether story structure can be described one level deeper.

The working hypothesis is that many narrative forms are generated by a small set of action-structures. The proposed framework identifies five candidate narrative engines: Force, where agency changes the world; Release, where transformation comes through letting go; Reveal, where understanding is reorganized; Gather, where accumulation becomes emergence; and Yin-Yang, where opposed truths are held without forcing terminal resolution.

The empirical program would test whether these structures help explain why some climaxes feel earned, why some stories produce triumph while others produce catharsis or recognition, and why some cross-cultural narrative forms resist being forced into conflict-driven or hero-journey models.

Fields and Methods

narratology, cognitive narratology, comparative literature, media studies, computational humanities, cross-cultural storytelling.

  • trained-rater narrative classification
  • audience-response study design
  • cross-cultural corpus construction
  • comparative narratology
  • computational humanities methods

Collaborator Profile

Narratologists, cognitive narratology researchers, comparative literature scholars, media and game studies researchers, computational humanists, and scholars of non-Western storytelling traditions.

Validation Needed

  • Test whether trained raters can classify narrative passages by proposed structure.
  • Compare audience-response signatures across arc types while controlling for genre.
  • Evaluate earned and unearned climaxes against narrative satisfaction data.
  • Build a cross-cultural corpus that can test whether the framework overfits Western examples.

Publication Posture

This page is a collaboration abstract, not a peer-reviewed finding. The research question is public so qualified domain scholars can evaluate the hypothesis, methods, and evidence needed to develop it.