A.19:9 - Rationale

A characteristic space is the minimal object that keeps multi-characteristic claims from becoming loose feature lists. The pattern binds each characteristic to a scale and value set, then lets neighboring patterns consume the declared space for state predicates, thresholds, comparisons, gates, evaluations, assurance, dashboards, and dynamics models.

The separation matters because a threshold or region is not the space, yet its semantic predicate is reusable before and after any one evaluation. A.19 is the pattern for that by-value predicate; comparison, acceptance, selection, assertion, evidence-use, publication, and decision occurrences and results require their own current claims under the applicable patterns.