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
Authors
- Eric Theriault (ORCID: https://orcid.org/0009-0006-0664-3973)
- DeepSeek A.I.
Institutions
- Hangzhou Academy of Agricultural Sciences (CN)
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
- 0.00