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.

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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
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article

The Quality of a Thinker and the Quality of a Semantic Field: Jean-Pol Martin's Theory Architecture in the Age of Artificial Intelligence

Jean-Pol Martin, ChatGPT
Zenodo (CERN European Organization for Nuclear Research)
Computational and Text Analysis Methods
article

The Quality of a Thinker and the Quality of a Semantic Field: Jean-Pol Martin's Theory Architecture in the Age of Artificial Intelligence

Jean-Pol Martin, ChatGPT
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 3%
Computational and Text Analysis Methods
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