Part 3 – How Meaning Becomes Measurable: Observing Translation Coherence in Decision Systems

Programme Context This preprint forms part of the research programme The Coherence Problem: How Institutions Learn, Drift, and Realign, which studies institutional decision systems as interpretive learning systems operating under conditions of complexity, scale, and delayed feedback. The programme integrates four complementary components:(1) architecture — the formal structure of decision-system learning,(2) mechanism — translation drift as a structural source of misalignment,(3) measurement — methods for observing translation coherence, and(4) design — governance as interpretive maintenance in AI-mediated environments. Together, the papers examine how organisations determine what matters, how meaning becomes encoded in governance artefacts, how translation drift arises as intent moves across governance layers, and how institutions can observe, maintain, and deliberately realign interpretive coherence over time. Description (Part 3) This preprint forms part of the research programme The Coherence Problem: How Institutions Learn, Drift, and Realign, which studies institutional decision systems as interpretive learning systems operating under conditions of complexity and delayed feedback. This paper addresses the observability problem in institutional decision systems: how meaning, interpretation, and alignment can be studied empirically when these are not directly observable variables. Building on prior work that identifies translation drift as a structural mechanism through which interpretive coherence can decay across governance layers, the paper argues that meaning becomes empirically traceable at translation interfaces—points where strategic intent is stabilised into artefacts such as criteria frameworks, templates, scoring structures, models, metrics, and review practices. The article develops three complementary methodological pathways for studying translation coherence: • artefact stability analysis — tracing changes in evaluative structures over time• interpretive framing analysis — examining how actors articulate evaluative logic• cross-layer structural mapping — comparing how intent is expressed across governance levels Together, these approaches treat translation coherence as a latent institutional property that can be inferred through structured empirical traces. The paper does not propose optimisation tools or governance technologies; its contribution is methodological, specifying how interpretive dynamics in decision systems can be studied rigorously under conditions of delayed feedback and distributed decision-making. Relevant for organisational learning research, governance studies, portfolio decision systems, institutional theory, and empirical studies of AI- and artefact-mediated decision environments. Version History Version 1.0Initial release of the methodological framework outlining pathways for making translation coherence empirically observable. Version 1.01Terminology clarification, improved articulation of the latent-variable framing, strengthened boundary condition statements, and refinement of pathway definitions. No changes were made to the conceptual structure or methodological claims. Version 2.00This release consolidates the manuscript within the full research programme structure. Cross-paper terminology has been harmonised, the distinction between interpretive coherence (narrative) and translation coherence (measured latent property) has been standardised, and reference architecture has been aligned. No changes have been made to the methodological framework, pathway structure, boundary conditions, or theoretical claims. Version 2.01: consolidates the manuscript within the full research programme structure. Cross-paper terminology has been harmonised, titles and references have been aligned with the programme statement, and internal cross-references have been updated. No changes have been made to the formal decision-learning architecture, measurement logic, boundary conditions, or theoretical claims. Empirical studies, measurement instruments, and field applications are in preparation and will be released in subsequent linked records.