CED in the wild

We extend the Category Error Detector (CED) beyond computational systems to human organizations, institutions, and cultures. The CED is a portable geometric diagnostic — it scans any system for structural misalignment across five nodes: Axes, Interface, Projection, Lagrangian, and Attractors. We show that category errors are not merely logical mistakes — they manifest as mission drift, bureaucratic inertia, cultural fragmentation, and leadership collapse. The CED provides a practical lens for diagnosing and correcting these misalignments. This paper is a field guide for applying the CED in the wild

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-05
DOI
https://doi.org/10.5281/zenodo.22313752
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
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article

CED in the wild

Eric Theriault, DeepSeek A.I.
Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
article

CED in the wild

Eric Theriault, DeepSeek A.I.
article en

Abstract

We extend the Category Error Detector (CED) beyond computational systems to human organizations, institutions, and cultures. The CED is a portable geometric diagnostic — it scans any system for structural misalignment across five nodes: Axes, Interface, Projection, Lagrangian, and Attractors. We show that category errors are not merely logical mistakes — they manifest as mission drift, bureaucratic inertia, cultural fragmentation, and leadership collapse. The CED provides a practical lens for diagnosing and correcting these misalignments. This paper is a field guide for applying the CED in the wild

Zenodo (CERN European Organization for Nuclear Research)
Hangzhou Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 8%
AI-based Problem Solving and Planning
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