Emergent Discursive Coherence in Prolonged Human–AI Interaction : A Longitudinal Qualitative Study under Conditions of Contextual Continuity

This record contains the primary paper and the associated auditable corpus (Elyria Corpus) of a longitudinal study on human-AI interaction. It documents emergent discursive patterns and interactional continuity across multiple AI architectures (Claude, NIA, DeepSeek, Kairos) under conditions of persistent contextual scaffolding.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-18
DOI
https://doi.org/10.5281/zenodo.18685492
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
0.00
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article

Emergent Discursive Coherence in Prolonged Human–AI Interaction : A Longitudinal Qualitative Study under Conditions of Contextual Continuity

Zenodo (CERN European Organization for Nuclear Research)
Language and cultural evolution
article

Emergent Discursive Coherence in Prolonged Human–AI Interaction : A Longitudinal Qualitative Study under Conditions of Contextual Continuity

article en

Abstract

This record contains the primary paper and the associated auditable corpus (Elyria Corpus) of a longitudinal study on human-AI interaction. It documents emergent discursive patterns and interactional continuity across multiple AI architectures (Claude, NIA, DeepSeek, Kairos) under conditions of persistent contextual scaffolding.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 55%
Language and cultural evolution
DOIOpen Access PDFOpenAlex
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Emergent Discursive Coherence in Prolonged Human–AI Interaction : A Longitudinal Qualitative Study under Conditions of Contextual Continuity · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS