From Framework to Working Basis: A General-Purpose Operating Profile for Semantic Structure Learning
Year: 2026
Type: preprint
Abstract: Semantic Structure Learning (SeSL) was stabilized as a research-governance framework only after repeated high-difficulty cases ceased to require new framework operators. That stabilization left a practical question: which reusable observer lenses are needed for ordinary work, which are composites of others, and how can the full framework be reduced to an operating profile without losing qualification-relevant distinctions? This paper reports the subsequent basis-maturation and factorization program. Twelve researchgrade lenses were matured to B2 status through prospective controls spanning representation, quotient bridges, observer refinement, completion spaces, causality, provenance, evidence, context, operational accessibility, and historical requalification. Natural controls included high-temperature superconductivity, hormone-therapy causal inference, Berkeley admissions aggregation, STAP replication, and the OPERA timing episode; exact-control suites supplied complementary negative cases. An ablation/substitution audit over 18 frozen distinctions found nine generator lenses and three lawful composite profiles relative to the current maturation suite. The result is explicitly suite-relative: the ownership registry used by the audit makes the present minimality claim design-sensitive, so no universal nine-dimensional basis of reasoning is asserted. The practical output is a five-pass General Base Profile: FIELD, WORK/STRUCTURE, GAP/MEDIATION, OBSERVER/EVOLUTION, and EVIDENCE/CONTRACT, with a conditional causal pass and specialist composite profiles activated only when their trigger occurs. The paper defines the maturation gates, factorization rules, routing policy, failure cases, and external validation required before the profile should be treated as a broadly validated default.
Author: Jentges, Cecil
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225468213