Narrative Genome, Explained

The Narrative Genome is Quilty’s structural DNA map of your screenplay — not a plot summary, but a measured decomposition of how the story is built: event sequence (fabula vs syuzhet), emotional dynamics, character network topology, act proportions, turning-point density, and dominant story shape.

Every full Quilty analysis includes it by default. The benchmarks that interpret your genome come from Narrative Genome Commonality V2 — 68 screenplays, Mann–Whitney U comparisons between top-tier (story_craft ≥ 88) and mid-tier scripts, versioned 2026-04-12.

What the genome measures

Layer	What you get
Fabula / Syuzhet	Chronological story events vs. how the script presents them (flashbacks, parallel lines, reveals)
Emotional arc	Scene-level valence and tension heat maps across the runtime
Character network	Interaction density, dialogue ratio, ensemble size, reciprocity
Structure	Act breakpoints, turning-point count, average scene length
Story shape	Classified arc (man-in-a-hole, Oedipus, Cinderella, etc.)

These layers feed Quilty Rules in the Story Architecture and Character Ensemble categories — each rule cites the genome corpus with p-values and effect sizes.

Top-tier patterns from the 68-screenplay study

Story shape: 71% of top-tier scripts use “man in a hole” — fall, then rise. Oedipus arcs appear in 19% of top-tier (not zero — but minority).

Act structure: Top-tier mean act split ≈ 24.3% / 50.1% / 25.5% — close to classical 25/50/25 with a slightly long second act (where most scripts actually live).

Turning points: Top-tier median 54 turning points vs mid-tier; p = 0.029 on Mann–Whitney U.

Scene pacing: Top-tier average scene length 68.2 seconds (screen time equivalent at standard page pace); Quilty Rules flag sustained averages below 45 seconds as pacing risk.

Character network: Top-tier median density 0.524; median 15 speaking roles (mean ensemble larger when bit players included).

Dialogue ratio: Sweet spot 0.23–0.33 (top-tier mean 0.292) — neither dialogue-heavy stage play nor silent-protagonist action template.

Fabula vs syuzhet — why it matters

Readers experience syuzhet (the cut script). Greenlight committees increasingly ask whether the fabula (underlying event chain) supports franchise, season, or sequel logic — especially in TV. The genome makes both explicit, so “non-linear” is not a vibe label but a measured property.

How this connects to the Quilty Score

Narrative Genome data primarily drives the Story & Craft pillar (35%) and the Quilty Rules Story Architecture bucket (35% of rules weight). It does not replace human taste — it quantifies compositional patterns that historically cluster in scripts that score high on craft and (per the 160-film study) correlate with box office.

Pattern departure — when breaking rules is craft

Quilty also runs a Pattern Departure layer: intentional violations (e.g., Memento’s inverted structure) vs accidental flaws. A low rule grade is not always a penalty — the genome plus departure analysis distinguishes deliberate craft from structural debt.

Related reading

• What is the Quilty Score?
• Scene essentiality vs scene quality
• Upload a script for full genome analysis