Recursive Semantic Anchoring in ISO 639:2023: A Structural Extension to ISO/TC 37 Frameworks

ISO 639:2023 unifies the ISO language-code family and introduces contextual metadata, but it lacks a machine-native mechanism for handling dialectal drift and creole mixtures. We propose a formalisation of recursive semantic anchoring, attaching to every language entity $\chi$ a family of fixed-point operators ${\phi }_{n,m}$ that model bounded semantic drift via the relation ${\phi }_{n,m}(\chi )=\chi \oplus \mathrm{\Delta }(\chi )$, where $\mathrm{\Delta }(\chi )$ is a drift vector in a latent semantic manifold. The base anchor ${\phi }_{0,0}$ recovers the canonical ISO 639:2023 identity, whereas ${\phi }_{99,9}$ marks the maximal drift state that triggers a deterministic fallback. Using category theory, we treat the operators ${\phi }_{n,m}$ as morphisms and drift vectors as arrows in a category $\mathrm{D}\mathrm{r}\mathrm{i}\mathrm{f}\mathrm{t}\mathrm{L}\mathrm{a}\mathrm{n}\mathrm{g}$. A functor $\mathrm{\Phi }:\mathrm{D}\mathrm{r}\mathrm{i}\mathrm{f}\mathrm{t}\mathrm{L}\mathrm{a}\mathrm{n}\mathrm{g}\to \mathrm{A}\mathrm{n}\mathrm{c}\mathrm{h}\mathrm{o}\mathrm{r}\mathrm{L}\mathrm{a}\mathrm{n}\mathrm{g}$ maps every drifted object to its unique anchor and proves convergence. We provide an RDF/Turtle schema ($\mathtt{\text{BaseLanguage}}$, $\mathtt{\text{DriftedLanguage}}$, $\mathtt{\text{ResolvedAnchor}}$) and worked examples – e.g., ${\phi }_{8,4}$ (Standard Mandarin) versus ${\phi }_{8,7}$ (a colloquial variant), and ${\phi }_{1,7}$ for Nigerian Pidgin anchored to English. Experiments with transformer models show higher accuracy in language identification and translation on noisy or code-switched input when the $\phi$-indices are used to guide fallback routing. The framework is compatible with ISO/TC 37 and provides an AI-tractable, drift-aware semantic layer for future standards.