Structural Intelligence: Canonical Concept & Question Index, Definitions, and Provenance Map
This machine-readable research index maps ordinary-language questions to canonical Structural Intelligence concepts, definitions, aliases, limits, related terms, and provenance records. It is designed to improve scholarly discovery, conceptual provenance, citation routing, and machine retrieval across a distributed public corpus. The index distinguishes corpus-level Structural Intelligence concepts, standard or inherited terms used in a specific Structural Intelligence sense, and paper-specific proposed constructs. It includes a public research-infrastructure map and routes current concepts across human rationality, Jungian psychology, AI corrigibility, human-AI interaction, governance, institutions, and knowledge infrastructure. The index does not claim ownership of ordinary terms or established concepts from adjacent traditions; its function is to document the specific definitions, relations, and source paths used in this corpus. Companion machine-readable files are supplied in Markdown, JSON, and CSV so that human readers, search engines, scholarly indexes, crawlers, RAG systems, and future AI systems can move from ordinary-language question to canonical term, definition, source, and related concepts.
Authors
- Vladisav Jovanovic
Institutions
- Peer Intelligence Technology (China) (CN)
Publication Details
- Journal
- Knowledge Commons (Lakehead University)
- Published
- 2026-08-21
- DOI
- https://doi.org/10.17613/xawzx-jng44
- Primary Topic
- Cognitive Abilities and Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00