wrathofgod/narrative-context-m2

Narrative Context Module 2 (Position-Aware)

Cross-scene feature evolution Transformer for film narrative understanding. Consumes 256-d scene embeddings from wrathofgod/scene-perception-m1-unfreeze-deberta-small.

Architecture Upgrades vs Previous M2

Component	Old M2	New M2
Feature dim	304-d	308-d (sin/cos position)
Positional encoding	window-relative only	window-relative + film-absolute MLP
Feature evolution	none	DeltaEncoder (GLU) as extra token
Sequence length	5	7 ([CLS] + 5 scenes + [DELTA])
Context fusion	last token only	CLS ⊕ current-scene via fusion gate
Transformer depth	4L × 8H, FFN=512	6L × 8H, FFN=768
Label smoothing	none	ε=0.1

Input

5-scene causal window [t-4 … t] per film. Per-scene feature: 305-d (M1 embedding + metadata + sin/cos position). Film position (0-1 scalar) fed separately to FilmPositionEncoder.

7 Prediction Heads

#	Head	Type	Output
1	scene_valence_continuous	regression	-1.0 to 1.0
2	tension_level	regression	1 to 10
3	arousal_level	regression	1 to 10
4	emotional_shift_trigger	binary	True / False
5	narrative_arc_position	5-class	Setup / Rising / Climax / Falling / Resolution
6	foreshadowing_type	4-class	None / Foreshadow / Payoff / Echo
7	transition_type	5-class	attacca / fade / segue / silence / cut