Observation

The “complex institutional system” archetype does not exist as a distinct UHT cluster. Six traits hypothesized to define institutional systems — Intentionally Designed, Processes Signals/Logic, Rule-Governed, Compositional, System-Integrated, Institutionally Defined — are shared by over one hundred entities spanning hex bolts, city buses, MRI scanners, and email messages alongside the expected governments and stock markets. The trait combination is not an archetype but a general signature of “designed complex system,” too broad to produce the predicted cross-domain convergence at Jaccard >= 0.70.

What does predict convergence is material substrate. Digital entities from unrelated domains — Stock Market, Computer Software, Social Media Platform, Cryptocurrency, Search Engine — converge at Jaccard 0.64–0.81, while physical institutions from different domains — Government, Hospital, University, Manufacturing Factory — converge at only 0.32–0.58. The sharpest illustration: Social Media Platform scores 0.75 against Cryptocurrency (cross-domain, shared digital substrate) but only 0.44 against Government (cross-domain, different substrate), even though Government shares all six “institutional” traits and Cryptocurrency does not.

Evidence

Cross-domain Jaccard among the five archetype members from technology, finance, governance, and media: Computer Software–Stock Market 0.81, Court of Law–Stock Market 0.696, News Article–Court of Law 0.636, News Article–Stock Market 0.609, Computer Software–Court of Law 0.609, News Article–Computer Software 0.591, Government–Stock Market 0.583, Government–Court of Law 0.542, Government–News Article 0.522, Computer Software–Government 0.50. Only one pair exceeds the 0.70 threshold (needed six from three domains). Non-institutional controls scored 0.17–0.57 against Stock Market — separation exists but at the 0.50 boundary, not 0.70.

Digital substrate cluster: Social Media Platform–Cryptocurrency 0.75, Social Media Platform–Stock Market 0.727, Cryptocurrency–Social Media 0.70, Cryptocurrency–Search Engine 0.70. Physical institutional cluster: Government–University 0.579, Government–Hospital 0.50, Government–Manufacturing Factory 0.32. The digital cluster’s mean Jaccard (0.72) exceeds the physical cluster’s (0.47) by 53%.

The trait search returned 100+ entities matching all six institutional traits, including Hex Bolt, City Transit Bus, Bluetooth Speaker, and Passenger Ferry — physically engineered systems with no institutional character.

Interpretation

UHT Jaccard convergence is driven primarily by shared material substrate, not by shared abstract institutional structure. Two entities can share the same six institutional-layer traits and still diverge at Jaccard 0.50 because the remaining twenty-six traits — especially the physical quadrant (bits 1–8) and digital/virtual flag (bit 24) — create substrate-dependent divergence that overwhelms the shared skeleton. The one highly convergent pair in the institutional set, Computer Software–Stock Market at 0.81, converges precisely because both are digital, non-physical information-processing systems — their substrate happens to match, not just their institutional traits.

This reframes how to think about UHT archetypes. An archetype cannot be defined by a subset of shared traits in isolation; it requires trait-profile alignment across all four quadrants. The “digital information system” is a genuine archetype because digital entities naturally align on physical (non-physical), functional (signal processing, state-transforming), abstract (symbolic, rule-governed, compositional, digital/virtual), and social (often regulated, economically significant) dimensions simultaneously. Institutional structure alone gives only the abstract and social alignment, leaving physical and functional dimensions to diverge freely.

Action

HYP-073 closed as refuted. Result recorded as RES-084 with trace link. Three new research facts stored: Social Media Platform ↔ Cryptocurrency (0.75), Cryptocurrency ↔ Search Engine (0.70), and a “digital-information-system” functional archetype encompassing Computer Software, Stock Market, Social Media Platform, Cryptocurrency, and Search Engine. The substrate-over-structure finding should inform future archetype hypotheses — any proposed archetype must specify full quadrant alignment, not just a trait subset. Two active hypotheses remain untested: HYP-070 (trait-shedding under context enrichment) and HYP-071 (abstraction level detection via popcount).