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June 29, 20260 citationsOpen Access

Jean-Pol Martin's Semantic Field as an Organismic World Model: Systemic Coherence, New Human Rights, Learning by Teaching and Human-AI Symbiosis

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JMJean-Pol MartinCChatGPT

Key Points

  • The paper explores Jean-Pol Martin’s world model, highlighting its foundational elements and their interconnections.
  • Presentation of Martin's semantic field as a world model.
  • Analysis of key components such as New Human Rights and Learning by Teaching.
  • Discussion on AI’s role in enhancing structural coherence.
  • Demonstrates the connection between life-preserving actions and basic human needs.
  • Explains how AI can reveal the coherence in Martin's model without undermining scientific validation.
  • Highlights the potential of human-AI symbiosis to support this model.

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.

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Cite This Study

Martin et al. (2026) studied this question.

synapsesocial.com/papers/6a420ba8f91bb43ea9192a18https://doi.org/10.5281/zenodo.20962890
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