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Add M2 model card

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+ ---
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+ language: en
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+ tags: [narrative-context, film-analysis, multi-task, pytorch, transformer]
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+ ---
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+ # Narrative Context Module 2
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+
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+ Transformer encoder (4L × 8H) over a 5-scene sliding window.
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+ Consumes scene embeddings from Module 1.
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+
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+ ## Input
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+ 5-scene window [t-4 … t] (past + current only).
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+ Per-scene feature vector: 304-d (M1 embedding + metadata).
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+
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+ ## 7 Cross-Scene Heads
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+ | # | Head | Type | Output |
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+ |---|------|------|--------|
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+ | 1 | scene_valence_continuous | regression | -1.0 to 1.0 |
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+ | 2 | tension_level | regression | 1 to 10 |
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+ | 3 | arousal_level | regression | 1 to 10 |
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+ | 4 | emotional_shift_trigger | binary | True / False |
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+ | 5 | narrative_arc_position | 5-class | Setup, Rising, Climax, Falling, Resolution |
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+ | 6 | foreshadowing_type | 4-class | None, Foreshadow, Payoff, Echo |
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+ | 7 | transition_type | 5-class | attacca, fade, segue, silence, cut |