Betwixt

Semantic knowledge is commonly represented in structures designed for persistence, exchange, or machine reasoning, while human review and much data-processing software operate more naturally on rectangular data. This paper introduces Betwixt, an R implementation of reviewable relational projections for semantic assertions. Betwixt treats atomic subject–predicate–value assertions as independently identifiable semantic units and projects them into tidy long or wider relational forms appropriate to particular review operations. Dual projections additionally align an assertion with another assertion establishing its relationship to evidentiary material, without combining the two into a compound semantic assertion. The resulting representations provide an intermediate layer between semantic models and human-centred review interfaces. The paper distinguishes projection from review semantics, describes the principal projection classes supported by the Betwixt model, and demonstrates their use in constructing reproducible review workspaces while preserving the identities required for subsequent provenance-aware semantic processing.