Making Meaning Measurable: How to See Coherence in Decision Systems

This paper develops a conceptual and methodological approach to making institutional meaning observable and measurable. It introduces coherence as a property of alignment between intent, decision criteria, and outcomes, and proposes a framework for tracing how meaning is encoded and transformed across governance artefacts. The paper outlines how coherence can be operationalized as a longitudinal signal, enabling the detection of drift before outcome failure. It contributes a measurement-oriented foundation for studying institutional decision systems.

Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-06-12
DOI
https://doi.org/10.17613/xag6e-tf395
Primary Topic
Public Policy and Administration Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Making Meaning Measurable: How to See Coherence in Decision Systems

Knowledge Commons (Lakehead University)
Public Policy and Administration Research
article

Making Meaning Measurable: How to See Coherence in Decision Systems

article en

Abstract

This paper develops a conceptual and methodological approach to making institutional meaning observable and measurable. It introduces coherence as a property of alignment between intent, decision criteria, and outcomes, and proposes a framework for tracing how meaning is encoded and transformed across governance artefacts. The paper outlines how coherence can be operationalized as a longitudinal signal, enabling the detection of drift before outcome failure. It contributes a measurement-oriented foundation for studying institutional decision systems.

Knowledge Commons (Lakehead University)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Public Policy and Administration Research
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Making Meaning Measurable: How to See Coherence in Decision Systems · Knowledge Commons (Lakehead University) (2026) | TGRS Research Map | TGRS