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feat: full v3.1 English deck — 12 slides, Open Book, Lettieri 3D methodology

Browse files

- Rebuild deck from outdated v1.0 (6 slides) to feature parity with Spanish v3.1
- Add Producer's Distribution Plan (Tranche 1 + Tranche 2 conditional)
- Add Monte Carlo probabilities & scenarios (Bear/Base/Bull/Stretch)
- Add Empirical Anchors slide with 4 verifiable historical comparables
- Add Tonal Comparables slide with Lettieri 3D emotional spectrogram
- Add Asymmetric Return Profile slide with institutional framing
- Add Market & Positioning slide with MIGUEL quadrant
- Add Open Book at /openbook/ with English-renamed dataset files
- All inter-page links use closed static.hf.space subdomain
- US English investor-grade copy: MOIC, recoupment waterfall, tranched
structure, preferred return, asymmetric distribution, risk-adjusted
returns
- IMDb US film titles throughout (Marshland, Black Bread, Memoir of
a Murderer, Confession of Murder, etc.)
- Contact phone updated to +502 5000 8082
- PDF export filename: MIGUEL_PitchDeck_EN.pdf

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14
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16
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+ </head>
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+ <body>
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+
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+ <a href="https://malaji71-miguelpitchdeck.static.hf.space/" class="back-link" target="_top">← BACK TO PITCH DECK</a>
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+
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+ <h1>Open Book</h1>
119
+ <p class="subtitle">Structural analysis of MIGUEL · auditable dataset</p>
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+
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+ <div class="lectura">
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+ <strong>Comparative dramaturgical analysis of MIGUEL.</strong> 119 beats from MIGUEL's screenplay were cross-referenced against the screenplays of three tonal anchors (<em>Memories of Murder</em>: 81 beats, <em>Marshland</em>: 85 beats, <em>Black Bread</em>: 83 beats), mapped to the fifteen Save the Cat beats and labeled along three neuroimaging-validated emotional dimensions: <strong>polarity</strong>, <strong>complexity</strong>, and <strong>intensity</strong> (Lettieri et al., <em>Nature Communications</em>, 2019). The spectrogram visualizes how each film's dramaturgy unfolds across its structure. Every beat-level annotation is independently reviewable in the downloadable JSON files.
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+ </div>
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+
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+ <h2>Emotional Spectrogram</h2>
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+ <div class="spectro-container">
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+ <img src="data/emotional_spectrogram.png" alt="Comparative emotional spectrogram">
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+ </div>
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+
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+ <h2>Downloadable Dataset</h2>
131
+ <table class="files-table">
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+ <thead>
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+ <tr><th>File</th><th>Contents</th></tr>
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+ </thead>
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+ <tbody>
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+ <tr><td><a href="data/miguel_enriched.json">miguel_enriched.json</a></td><td>119 MIGUEL beats mapped to Save the Cat + Lettieri 3D dimensions (polarity, complexity, intensity)</td></tr>
137
+ <tr><td><a href="data/memories_of_murder_enriched.json">memories_of_murder_enriched.json</a></td><td>81 beats — Bong Joon-ho, 2003</td></tr>
138
+ <tr><td><a href="data/marshland_enriched.json">marshland_enriched.json</a></td><td>85 beats — Alberto Rodríguez, 2014</td></tr>
139
+ <tr><td><a href="data/black_bread_enriched.json">black_bread_enriched.json</a></td><td>83 beats — Agustí Villaronga, 2010</td></tr>
140
+ <tr><td><a href="data/save_the_cat_distribution.csv">save_the_cat_distribution.csv</a></td><td>Percentage distribution of beats per stage</td></tr>
141
+ <tr><td><a href="data/emotional_dimensions_aggregated.csv">emotional_dimensions_aggregated.csv</a></td><td>Weighted average score per dimension per film</td></tr>
142
+ <tr><td><a href="data/emotional_spectrogram.png">emotional_spectrogram.png</a></td><td>High-resolution PNG visualization</td></tr>
143
+ </tbody>
144
+ </table>
145
+
146
+ <h2>Methodology</h2>
147
+ <p style="font-size: 0.92rem; color: rgba(255,255,255,0.78);">
148
+ Each screenplay was segmented into narrative beats. Every beat was assigned to one of the fifteen Save the Cat stages (Blake Snyder) and scored along three emotional dimensions validated through functional neuroimaging — polarity, complexity, and intensity — drawn from the framework of Lettieri et al., <em>Chronotopic encoding of emotional dimensions in the human brain assessed by fMRI</em>, <em>Nature Communications</em> (2019). Polarity and complexity are bipolar (scored −10 to +10); intensity is unipolar (scored 0 to 10).
149
+ </p>
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+ <p style="font-size: 0.92rem; color: rgba(255,255,255,0.78); margin-top: 14px;">
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+ Beat-level annotation was performed by an LLM (Claude Sonnet 4.5, Anthropic) on the complete screenplay text. The model was calibrated against an open fMRI dataset (Naturalistic Neuroimaging Database, University College London) using <em>Pulp Fiction</em> as scientific control — the most heavily annotated film in the NNDb corpus.
152
+ </p>
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+ <p style="font-size: 0.92rem; color: rgba(255,255,255,0.78); margin-top: 14px;">
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+ The downloadable dataset enables independent review at the beat level, as well as aggregated profiles per film. The data support qualitative dramaturgical analysis; quantitative inter-film similarity metrics are currently under methodological review.
155
+ </p>
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+
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+ <footer>
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+ Full pipeline: huggingface.co/spaces/Malaji71/miguel · MIGUEL · 2026<br>
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+ Pitch deck: <a href="https://malaji71-miguelpitchdeck.static.hf.space/" target="_top" style="color: rgba(255,255,255,0.55);">Back to deck</a>
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+ </footer>
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+ </body>
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