T3/V3 and MRH — The Governance Mechanics

Now we get specific about how trust is measured and scoped.

T3 — The Trust Tensor

Trust in Web4Web4Open governance ontology for trust-native entity interactionsis not a single number. It's a three-dimensional measurement:

Talent(weight: 0.4) — Natural aptitude. Can this entity do the job? Talent is relatively stable — it doesn't decay quickly, and it isn't inflated easily.

Training(weight: 0.3) — Learned capability. Has this entity practiced and demonstrated skill? Training decays without practice — a reasonable model of how competence actually works.

Temperament(weight: 0.3) — Consistency and reliability under varying conditions. Does this entity behave predictably? Temperament recovers with consistent good behavior, and degrades with erratic behavior.

Crucially, T3Talent / Training / TemperamentThree-dimensional trust measurement, role-contextual, with decay is role-contextual. An entity's trust score as a code reviewer is completely independent of its trust score as a database administrator. The same entity, different roles, different trust profiles. This is MRHMarkov Relevancy HorizonFractal context scoping — defines where governance applies applied to trust measurement.

V3 — The Value Tensor

Complementing trust, V3Valuation / Veracity / ValidityThree-dimensional value measurement — did real value transfer occur? measures the value an entity creates:

Valuation(weight: 0.3) — Did the entity deliver what was expected? Measured against the resources allocated and the satisfaction of the recipient.

Veracity(weight: 0.35) — Are the entity's claims true? Measured as the ratio of verified claims to total claims, weighted by witness confidence.

Validity(weight: 0.35) — Did real value transfer occur? A binary foundation — either value was delivered or it wasn't.

Together, T3Talent / Training / TemperamentThree-dimensional trust measurement, role-contextual, with decay and V3Valuation / Veracity / ValidityThree-dimensional value measurement — did real value transfer occur?provide a six-dimensional trust profile that is continuously updated based on observed behavior, scoped to specific roles, and subject to natural decay. This is not a credit score. It's a living measurement of capability and value creation within a specific context.

MRH — Markov Relevancy Horizon

As described in the Agency & MRH section, MRHMarkov Relevancy HorizonFractal context scoping — defines where governance applies defines the scope within which these measurements apply. Implemented as relationship graphs, MRHMarkov Relevancy HorizonFractal context scoping — defines where governance applies determines which entities, roles, and contexts are relevant to a particular trust evaluation.

MRHMarkov Relevancy HorizonFractal context scoping — defines where governance applies interacts with LCTsLinked Context TokensPlural — each entity's witnessed presence within a context and trust witnessing to create a complete picture: this entity (LCTLinked Context TokenAn entity's witnessed presence — permanent, non-transferable, cryptographically anchored), in this context (MRHMarkov Relevancy HorizonFractal context scoping — defines where governance applies scope), has this trust profile (T3Talent / Training / TemperamentThree-dimensional trust measurement, role-contextual, with decay/V3Valuation / Veracity / ValidityThree-dimensional value measurement — did real value transfer occur?), as witnessed by these observers (witnessing network).