Living Literature's research program is not only concerned with language change across time. It is also concerned with a more specific and increasingly urgent question: how should AI interpret books, and who governs that interpretation?
How can AI remain meaningfully answerable to a book, rather than drifting into generic interpretation?
As language models begin to mediate reading, explanation, and post-publication engagement, the problem is no longer just what a model can generate. The problem is how interpretation is shaped: how register, tone, conceptual fidelity, and authorial boundaries are preserved or lost when books are translated into AI-guided dialogue.
This page brings together the hermeneutics strand of Living Literature: the work on interpretive drift, authorial governance, Canon Pack methods, and the broader question of what responsible AI-mediated reading should look like.
AI now enters the reading environment not only as a summarizer, but as an explainer, interlocutor, and interpretive layer. That changes the problem. The question is no longer simply whether a model can produce fluent answers about a text, but whether those answers remain faithful to the book's voice, register, conceptual world, and limits.
A book-guided AI system can drift in many ways. It can flatten tone, modernize what should remain strange, replace ambiguity with generic reassurance, or answer from the habits of the base model rather than from the work itself. Once AI becomes part of how readers encounter books, governance becomes part of the method.
The work presented here approaches this as a problem of applied hermeneutics. It asks how interpretive fidelity can be made more explicit, how drift can be observed and reduced, and how authors, publishers, or governing frameworks can retain meaningful control over how books are represented in AI-mediated reading environments.
Interpretation cannot be treated as a black box. If AI-mediated reading is going to become part of literary and educational life, then governance has to move from background assumption to explicit design principle.
All research papers linked from this page are open preprints posted to Zenodo. They have not undergone formal peer review unless explicitly stated. Findings are provisional and represent the author's working research, not established clinical or psychological consensus.
The hermeneutics work is concerned with a practical question: how can AI stay answerable to a book's voice, register, and interpretive boundaries rather than drifting into generic chatbot behavior?
At its core, this strand treats interpretation as something that must be shaped, tested, and governed. The aim is not to let models simply "talk about books," but to build controlled companion layers that remain recognizably grounded in the logic, tone, and limits of the works they represent.
Conceptual framework, governance logic, comparative testing, and early companion-building workflows are already in place. This should be understood as an emerging applied hermeneutics program: part research method, part author platform, and part infrastructure for book-guided AI interpretation.
The governance method as an editorial-control layer for publishers and imprints managing how their catalogue is read by AI systems.
The same governance approach for individual authors who want to shape how AI represents and interprets their own books.
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Alongside the hermeneutics work, Living Literature also develops methods for studying language across time rather than treating text as a one-off snapshot. This includes work on within-person variation, expressed versus felt emotion, narrative drift, and the use of large language models as interpreters rather than simple classifiers.
Here, the aim is not to reduce personhood to a score. It is to build methods that are more sensitive to change, recurrence, re-anchoring, and structural movement in naturalistic human text. In this context, longitudinal text analysis supports the broader hermeneutic question by helping make drift, pattern, and interpretive tension more visible.
Disagreement between methods is often informative. It can reveal construct boundaries, interpretive limits, and the difference between sensing a pattern and explaining what that pattern means.
This strand treats language not simply as content, but as a changing signal across time, context, and interaction — studying how emotional patterning, identity structure, reflective capacity, and narrative drift become visible longitudinally rather than at a single moment.
Working papers, methodological frameworks, and applied prototypes related to longitudinal emotion extraction, within-person variation, the expressed-versus-felt distinction, and narrative infrastructure. An evolving methods program rather than a finished analytic platform.
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The Global Narrative Atlas is not simply a paper, and not yet a full platform. It is best understood as a prototype research infrastructure for tracking how identity, emotion, and reflective structure evolve across time in naturalistic text.
At its core, it rests on a simple observation: current research captures many snapshots of human psychology, but far fewer trajectories. We know a great deal about isolated states and cross-sectional differences, and much less about how identities actually change as people move through migration, instability, technological mediation, and long-form reflection.
Conceptual foundation, methodological groundwork, related publications and pipelines, and integration into the broader identity framework of Fourth Culture: Identity Without Borders. It should be understood as a prototype infrastructure in formation, not a finished institutional platform.
Explore the Global Narrative Atlas work →
Provide conceptual terrain: identity, belonging, emotional architecture, reflective life.
Attempts to make aspects of that terrain analytically tractable through longitudinal methods and structured interpretation.
Explore what happens when these ideas move into reader interaction, structured dialogue, and conversational assessment.
The research program is not a detached technical layer. It is one part of a larger inquiry into how books, interpretation, reflection, and applied systems can work together in the age of AI.