Generative General Methodology (GGM) is a systematic philosophical framework that examines how fundamental concepts emerge, differentiate, and become structurally organized through relations of logical and functional dependence. The work begins with the foundational sequence This → X → Difference, understood respectively as Minimal Givenness, Pre-Difference Structural Openness, and the First Explicit Distinction. From Difference, it develops an account of Recursive Difference, Depth, MetaDepth, …
Read moreGenerative General Methodology (GGM) is a systematic philosophical framework that examines how fundamental concepts emerge, differentiate, and become structurally organized through relations of logical and functional dependence. The work begins with the foundational sequence This → X → Difference, understood respectively as Minimal Givenness, Pre-Difference Structural Openness, and the First Explicit Distinction. From Difference, it develops an account of Recursive Difference, Depth, MetaDepth, Formal Horizon, Structure Formation, Structural Preservation, Structural Evaluation, and the Necessity Spectrum. The framework subsequently extends into the Individualization River, the Possibility Axis, the Constraint Axis, the Shared Causality Axis, the Hierarchy Axis, and a collection of interconnected conceptual clusters. These trajectories converge in the Dual Limit Structure, which formally relates the universalizing direction of structural preservation to the individualizing direction of attribution and centeredness. GGM does not present its formulas and diagrams as mathematical proofs of philosophical claims. Rather, they function as formal representations of conceptual placement, dependency, transition, and structural correspondence. The work is intended as an original contribution to systematic philosophy, metaphysics, philosophy of difference, structural philosophy, and the formal organization of philosophical concepts. Files in this record are restricted. The English edition of this work is available on Amazon: https://www.amazon.com/dp/B0HCGWZCYM.