A.19.UINDM:2 - Problem
Engineering teams routinely need to decide “which characteristics count as indicators” for a CN‑frame—before they can score, compare, aggregate, or select. If indicatorization is not given a first‑class mechanism boundary, several failure modes emerge:
- Hidden indicatorization: downstream mechanisms (scoring/comparison/selection) implicitly decide which characteristics matter, making the CHR pipeline opaque and hard to audit.
- NCV conflation: measurability (or “having an NCV”) is treated as sufficient to be an indicator, collapsing the crucial distinction between “measurable characteristic” and “indicator chosen under policy.”
- Drift and non-determinism: indicator sets vary between teams, bearer classes, source or corpus editions, windows, and intended uses without stable policy and basis pins, making comparisons and decisions irreproducible.
- Silent evidence coercion: missing/unknown evidence is implicitly treated as acceptable (“pass”) or collapsed to an empty set, degrading decision quality without visibility.