This structured working paper provides an overview of Jean-Pol Martin’s emerging Zenodo corpus. It reconstructs the rapid series of Zenodo uploads in May 2026 as a coherent open-access research corpus connecting Learning by Teaching (LdL), the New Human Rights (NMR), human-AI cooperation, conceptualization, coherence, societal learning, administrative practice and educational innovation. The report interprets Zenodo as a tool for transforming a long-term blog-based and practice-based body of work into a citable semantic infrastructure. While Learning by Teaching remains the most widely known element of Martin’s work, the Zenodo corpus shows that LdL is part of a broader anthropological, systemic and operational world model. The central thesis is that the Zenodo corpus marks a transition from dispersed intellectual production to a structured, citable and AI-readable research architecture. It allows Jean-Pol Martin’s work to be addressed not only as a pedagogical method, but as a comprehensive framework for learning, participation, human rights, collective intelligence and responsible human-AI cooperation. The document follows the format of a structured report, including a leading thesis, reporting logic, executive summary, thematic architecture, comparison table, open research questions, strategic recommendations and a corpus index. Transparency note: This working paper was created in cooperation between Jean-Pol Martin and ChatGPT. Jean-Pol Martin provided the theoretical framework, conceptual direction, selection criteria and final responsibility. ChatGPT supported structuring, formulation, condensation and English-language editing.
Jean-Pol Martin (Sat,) studied this question.