2025/12/10 by Hung Kuan Lee, Lee, Hung Kuan
Biochemistry, Genetics and Molecular Biology · Decision Sciences · #62A01 (Foundations and philosophy of statistics) 62-07 (Data analysis) #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Meta-analysis and systematic reviews #Methodology (stat.ME) #Scientific Computing and Data Management
paper · pdf · doi:10.48550/arxiv.2512.09821
openalex publication_date 2025/12/10 · openalex created_date 2025/12/12 · openalex updated_date 2026/07/28
Evidence synthesis has advanced through improved reporting standards, bias assessment tools, and analytic methods, but current workflows remain limited by a single-layer structure in which conceptual, methodological, and procedural decisions are made on the same level. This forces each project to rebuild its methodological foundations from scratch, leading to inconsistencies, conceptual drift, and unstable reasoning across projects. RECAP Framework v1.0 introduces a three-layer meta-architecture consisting of methodological laws (Grandparent), domain-level abstractions (Parent), and project-level implementations (Child). The framework defines an inheritance system with strict rules for tiering, routing, and contamination control to preserve construct clarity, enforce inferential discipline, and support reproducibility across multi-project evidence ecosystems. RECAP provides a formal governance layer for evidence synthesis and establishes the foundation for a methodological lineage designed to stabilize reasoning across research programs.