The Narratologium Thesis
“Narratologium does not ask whether a story is true. It asks how a story is built, how it changes, what it makes visible, what it leaves out, and what happens when people begin to believe it.”
1. Why Narratological Architecture Matters
Almost every other domain in human knowledge contains facts, objects, rules, or phenomena—statutory codes, symbolic systems, game mechanics, or physical wavelengths. But humans understand, remember, and weaponize every single one of those things through stories.
Narratologium studies the formal architecture of narrative itself across literature, folklore, politics, journalism, oral history, games, law, myth, and culture.
2. The Quad-Layer Epistemic Framework
Narratologium bridges four distinct disciplines to answer a single unifying question: How do complex systems become intelligible to human beings?
Creative Writing & Nonfiction: Narrative architecture, sensory immersion, the ladder of abstraction, causal emplotment, and truth-constrained sensemaking.
Communication & Rhetoric: Audience cognition, qualitative synthesis, persuasive reasoning, and diagnosing intention-outcome divergence in feedback loops.
Computer Science & Graph Theory: Ontological schemas, deterministic state spaces, and reverse-engineering mechanical interactions with a maker's eye.
Natural Systems & Reality: Immutable timestamps, ballistics, physical invariants, biological constraints, and verified archival records.
3. Open Corpora & Zero-Proprietary Architecture
Narratologium operates exclusively on open access, machine-readable data. We harvest zero proprietary paywalled repositories.
Project Gutenberg
Powers the Story Genome, character co-occurrence networks, opening/ending computational taxonomy, and motif lineage tracking.
Library of Congress API
Provides primary-source corpora, manuscript facsimiles, and the cross-medium narrative source graph.
Chronicling America
Drives the Historical Frame Engine, tracking headline evolution, moral language inflection, and how unfolding disasters crystallize into myths.
American Folklife Center
Fuels the Public Memory Lab, comparing lived eyewitness memory against official state narratives to reveal memory as a constructive narrative process.
National Archives API (NARA)
Powers The Official Story and Narrative Diff, dissecting the boundary between raw archival record and constructed state narrative.
GovInfo API
Drives the Political Story Machine, measuring agency assignment, metaphor recruitment ('War on X'), and decades-long rhetorical frame migration.
OpenAlex
Grounds the Narrative Scholarship Graph, mapping the genealogy of narratological theorists (Genette, Propp, Bakhtin, Barthes) to their cited evidence.
4. Epistemic Hygiene & Provenance Stamping
Every entity in our knowledge graph is stamped with its provenance tier, extraction algorithm, and uncertainty index. When an AI model extracts a narrative frame or agency distribution, it is tagged as MODEL-DERIVED FEATURE—never quietly passed off as archival metadata.
5. 2026 Machine & AEO Standards
Narratologium serves structured machine-readable feeds for autonomous agents and LLMs:
- • /tokens.json — W3C Design Tokens Community Group specification.
- • /llms.txt — Concise markdown index of all 21 labs and schemas.
- • /llms-full.txt — Complete computational ontology and formulaic definitions.
Epistemic Inquiries & Search Tree
Hierarchical inquiry tree rendered with progressive disclosure and Schema.org FAQPage JSON-LD.
Evelyna Bellamy
Curator & Principal Systems Architect
Temporal Architecture · Folio MMXXVI
Evelyna Bellamy investigates the architecture of material memory, engineering zero-dependency computational substrates, diurnal solar synchronization, and diegetic design systems that resist digital ephemerality. Her work bridges formal software engineering with empirical research into predictive systems, cognitive interaction ergonomics, and human-centered communication.
Minors in Computer Science and Communications
PredictionX: Omens, Oracles, and Prophecies
Astrophysics, symbolic forecasting, and observational modeling instructed by Prof. Alyssa Goodman.
Foundations of User Experience (UX) Design
User-centered design, cognitive ergonomics, wireframing, accessibility, and intuitive interaction architecture.
Gender Analytics for Innovation
Inclusive systems design, identifying cognitive and data bias in products, and intersectional innovation models.
Establishing Product-Market Fit
Value proposition architecture, iterative MVP experimentation, and qualitative/quantitative market validation.
Influencer Marketing Strategy
Two-step information flow modeling, network topology, strategic communication, and analytics measurement.
Real Estate Sales & Principles Certification
Real estate statutory principles, contract architecture, agency law, and market valuation analysis.