A.18:1 - Problem Frame

We often need to characterize some aspect of a subject, whether the subject is one entity or a relationship between entities. Whether it’s recording a physical quantity, an architectural property, or a performance rating, the characterization must:

• remain domain-neutral (work for engineering metrics, subjective scores, etc.),

• support direct magnitude comparison when values have the same Characteristic and Scale and compatible measurement conditions; a declared conversion may establish that common basis, and

• accommodate both ordered tiers (qualitative levels like Low/Medium/High) and numeric magnitudes (continuous or interval values) without mixing them up.

In FPF’s kernel, the CSLC pattern (Characteristic–Scale–Level–Coordinate) provides the minimal vocabulary and constraints to achieve this. It defines how one Characteristic ties to one Scale, and how any measured value can be treated as a Coordinate on that scale (with an optional named Level if the scale is discrete or tiered). The context here is the need for a unified Standard so that every single measurement can be interpreted and compared on common grounds.