Canonical Semantic Realization: A Measurement Framework For Controlled Semantic Variation

Many contemporary data and evaluation workflows operate on semantic artifacts: natural-language inputs, policy descriptions, clinical notes, legal documents, system logs, instructions, survey items, and other representations whose meaning is not determined solely by surface form. In these domains, the object of interest is rarely the exact wording or format of an input. It is the underlying meaning, condition, intent, constraint, or expected handling regime that the input expresses. Canonical Semantic Realization (CSR) is a measurement framework for such settings. It separates three layers that are often conflated: canonical semantic units, which define the semantic condition under study; realizations, which specify how that condition is expressed through language, format, channel, or presentation form; and observed outcomes, which record empirical system behavior under a particular realization. CSR treats canonical meaning as the experimental unit and controlled realizations as repeated measurements. It uses semantic-preservation contracts as conceptual validity constraints, reproducibility as a measurement requirement, and outcome mapping to preserve disagreement as empirical evidence rather than discard it as noise. This structure supports invariance-gap analysis, variance decomposition, instability localization, and failure-aware measurement in domains where meaning, representation, and behavior are otherwise collapsed into a single observational layer. CSR does not guarantee correctness, truth, robustness, or normative resolution. Its contribution is observability: it makes semantic brittleness, uncertainty, and representation sensitivity measurable, attributable, and reproducible.