Semantic Field Diagnostics

This registration documents Semantic Field Diagnostics, a structural framework for identifying conditions of drift, substitution, boundary stress, and collapse within meaning-bearing systems. The work introduces semantic field diagnostics not as a method, toolkit, or evaluative procedure, but as a vocabulary for recognizing structural states that constrain interpretation before observable failure occurs. The analysis shifts diagnostic attention upstream, away from behavior, incentives, performance metrics, or outcomes, and toward the semantic field in which interpretation, judgment, and coordination take place. A semantic field is defined as the structured space that determines which distinctions are available, which interpretations are admissible, how disagreement is expressed, and where ambiguity is tolerated. Failures at this level alter what a system can perceive, not merely what it decides. This project articulates a set of core diagnostic constructs—including drift, projection, boundary substitution, and collapse—as recurring structural regimes rather than discrete events. These conditions can persist for extended periods without visible malfunction, allowing systems to remain coherent and operational while their interpretive capacity steadily degrades. Diagnostic failure, in this context, arises not from lack of data or oversight, but from deformation of the field itself. The registration situates semantic field diagnostics as an integrative interpretive layer within the broader structural ecology developed in earlier registrations. Premature coherence is treated as one pathway into field collapse, proxy substitution as a mechanism of projection, boundary engineering as a determinant of field containment, irreversibility as a terminal regime, and model-induced coherence pressure as an accelerator of field deformation. Diagnostics do not compete with these frameworks; they provide a shared grammar for recognizing their effects. Particular attention is given to AI-mediated environments, where semantic fields are partially externalized into durable representations, interpretive closure accelerates, and projection becomes infrastructural. In such contexts, the diagnostic challenge is not identifying technical error or model bias, but recognizing when stabilized representations have reshaped the field of possible interpretation. The analysis is intentionally non-prescriptive. No diagnostic procedures, assessment tools, evaluation metrics, or intervention strategies are proposed. Semantic field diagnostics are offered as a descriptive grammar for structural states, clarifying why failures are often misdiagnosed and why correction may be structurally unavailable once field deformation has occurred. This description reflects an open-ended theoretical articulation rather than a finalized framework. The concepts documented here establish semantic field diagnostics as a foundational lens for recognizing structural constraint and collapse in meaning-bearing systems, supporting future analytical, empirical, or applied work within the Meta-Writing Ecology. Main system entry: metawritingecology.org