Pre-AI Embodied Sense-Making: A Terminology Reference | Somagraphic Learning™ Framework

This terminology reference defines ten original constructs introduced by the Somagraphic Learning™ Framework, the first named, IP-protected, peer-reviewed framework to operationalize pre-AI embodied sense-making as a structural learning intervention.

The term pre-AI embodied sense-making does not exist in any current AI literacy, learning science, or human-AI interaction framework. UNESCO, ISTE, CSTA, and the US Department of Labor address what learners do with AI after it is opened. None address the cognitive and somatic state a learner must establish before AI output exists.

This document defines that gap and the terminology through which the Somagraphic Learning™ Framework addresses it. Constructs defined include: Pre-AI Embodied Sense-Making, Somagraphic Learning™, Somatic AI Literacy™, Map Before Machine™, Shape-Emotion Grammar™, Somatic Mirroring Process, Body-to-Screen Cognition, Somagraphic Orientation Layer, Gap-Based Query, and Timestamped Cognitive Artifact.

Each entry states its operational definition, originality status, theoretical grounding, and IP standing. All constructs are original to this framework. Where prior art exists in embodied cognition or Gestalt psychology, it is explicitly acknowledged.

All trademark filings are noted at the construct level. This document supplements the Somagraphic Learning™ Framework preprint (Toprani, 2026a, OSF: https://doi.org/10.35542/osf.io/fnk7z_v4) and the IRB-ready Pilot Protocol (Toprani, 2026b, OSF: https://doi.org/10.17605/OSF.IO/BJWKG).

The study is formally preregistered on OSF Registries. All framework IP and copyright remain exclusively with Devika Toprani. Patent-pending. Licensed CC BY-NC-ND 4.0. Any integration into software platforms, AI onboarding UIs, or enterprise training curricula requires a commercial license. © 2026 Devika Toprani. All Rights Reserved.