The Tree-Top Meta-Method: Inquiry to the Limits of Domain-Specific Formal Generalisation with Consequent Application Across Other Domains
Abstract
This paper presents the tree-top meta-method: a method of inquiry that proceedsby ascending from any concrete domain through successive levels of formal generalisationuntil further generalisation becomes impossible, then returning witha structural map of the entire landscape of necessity. One begins with a concreteproblem or established result and generalises upward, asking at each level whatmore general constraint underlies it, continuing until formal generalisation itselfruns out. From this limit, one observes which structural features must be presentfor any observable system to exist and how they relate across domains. The result isnot a solution to the original problem but a map by which specialists in any domaincan locate their phenomena within a larger landscape.The method differs from standard scientific practice (which ascends only farenough to solve immediate problems) and from speculative philosophy (whichinhabits the limit without returning). The paper situates the method within existingtraditions—category theory, systems theory, transcendental argument, andstructural realism—and clarifies its distinctive contribution. Applied systematicallyover 27 years, the method has produced 75 publications spanning physics, astrophysics,cognitive science, social systems, epistemology, healthcare, and artificialintelligence. Four core derivations are presented with full formal apparatus, crossdomainstructural correspondences are derived from explicit chains of necessity,and concrete falsifiable predictions are specified.Keywords: meta-method, formal generalisation, structural necessity, persistence,viability, cross-domain isomorphism, systems theory, structural realism, interdisciplinarity1
Fields of Study & Subjects
Interdisciplinary Research and Collaboration
Scientific Research and Philosophical Inquiry
Diverse Interdisciplinary Research Innovations
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 February 2026
- Language
- EN