The Quality of a Thinker and the Quality of a Semantic Field: Jean-Pol Martin's Theory Architecture in the Age of Artificial Intelligence
This working paper argues that in the digital and AI-based knowledge environment, the quality of a thinker can increasingly be recognized through the quality of the semantic field generated by their work. Using Jean-Pol Martin’s theory architecture as an example, the article examines semantic stability, coherence, transferability, productivity, and AI readability as indicators of theoretical quality.
Authors
- Jean-Pol Martin (ORCID: https://orcid.org/0000-0002-9998-2432)
- ChatGPT
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-18
- DOI
- https://doi.org/10.5281/zenodo.20742276
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00