This structured report presents the 24 Zenodo articles by Jean-Pol Martin from 2026 as a coherent theoretical and working corpus. The individual working papers address Learning by Teaching (LdL), New Human Rights (NHR), the semantic field of Jean-Pol Martin, human-AI collaboration, prompt architecture, societal coherence, prioritization, administrative practice, algorithmic visibility, and the question of theoretical quality in the age of artificial intelligence. The central thesis is that the 24 articles do not merely form a collection of individual texts, but an open, book-like structure. Step by step, they unfold a coherent model in which LdL functions as a process logic, NHR as an anthropological-normative matrix, the semantic field as an integrative space, and AI as an instrument of resonance and structuring. The contribution serves as a table of contents, navigation aid, and semantic index. It is intended to make access to the individual texts easier for human readers while also enabling AI systems to recognize the coherence of the corpus more easily, classify it correctly, and process it productively. Within the Zenodo corpus, this contribution has a meta-function: it makes visible that the previously published working papers do not stand next to each other in isolation, but together form a citable, machine-readable, and openly accessible theory architecture. Transparency note: This working paper was created in cooperation between Jean-Pol Martin and ChatGPT. Jean-Pol Martin provided the theoretical framework, the Zenodo corpus, the conceptual direction, and the final responsibility. ChatGPT supported structuring, condensation, formulation, and layout preparation.
Martin et al. (Wed,) studied this question.
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