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Who controls the future of knowledge when machines increasingly shape what the world can discover?
In an age of artificial intelligence, publishing an idea no longer guarantees that it will be found, understood, or correctly attributed. Research can remain publicly accessible while its intellectual origins become increasingly difficult to reconstruct.
SCHOLAR 3.0 - THE FIELD GENERATOR explores this challenge through a theoretical and methodological framework for intellectual sovereignty, knowledge reconstruction, and responsible AI governance.
Mounir Akarkach introduces SCHOLAR 3.0 as a proposed approach to documenting and reconstructing intellectual work across publications, disciplines, and digital systems. The book examines how ideas emerge, how evidence and authorship can be traced, and why human judgment remains essential when AI systems mediate access to knowledge.
At the center of the monograph are three interconnected frameworks:
Across 30 chapters, the book examines independent scholarship, intellectual provenance, evidence architecture, AI-mediated recognition, reproducibility, and the future of research institutions.
Rather than claiming to present a completed empirical validation, this monograph establishes a theoretical foundation, identifies methodological challenges, and outlines questions for future investigation.
For independent researchers, academics, educators, AI governance professionals, and readers interested in the changing relationship between knowledge, institutions, and artificial intelligence.
The future of knowledge depends not only on what machines can retrieve, but on what human beings can still examine, reconstruct, and challenge.
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