Jean-Pol Martin's Semantic Field as an Organismic World Model: Systemic Coherence, New Human Rights, Learning by Teaching and Human-AI Symbiosis
Year: 2026
Type: article
Abstract: This working paper presents Jean-Pol Martin’s semantic field as an organismically grounded world model. It shows how the central elements of Martin’s work – the living human organism, the New Human Rights, Learning by Teaching (LdL), systemic coherence and human-AI symbiosis – can be traced back to one common structure: life-preserving action through the safeguarding of basic human needs. The paper also explains how AI can function as a structural examiner by making the coherence, reconstructibility and AI-connectability of this model visible without replacing scientific or historical validation.
Authors: Martin, Jean-Pol, ChatGPT
Institution: Catholic University of Eichstätt-Ingolstadt
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7166323830
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