Semantic Attractors and the Recursive Mirror: Corpus Topology as a Method for Semantic Archeology
Zenodo (CERN European Organization for Nuclear Research) July 8, 2026 DOI: 10.5281/zenodo.21266296 via OpenAlex
Summary
AI-generated from the abstractA reproducible corpus-topology pipeline was applied to 224,215 text chunks from over 2,700 documents covering religious canon, government FOIA records, UAP testimony, psychedelic ethnography, and comparative mythology. The pipeline maps semantic relationships across these diverse textual domains, revealing structural patterns in how meaning is organized across different knowledge systems.
Study at a glance
| Characteristics | Methodological paper with corpus analysis Peer reviewed |
|---|---|
| Sample size | 224,215 |
| Population | Text chunks from religious canon, government FOIA records, UAP testimony, psychedelic ethnography, and comparative mythology |
| Keywords | Pipeline software Government linguistics Attractor Topology electrical circuits Semantics computer science |
| Key finding | A reproducible corpus-topology pipeline reveals structural patterns in semantic relationships across diverse textual domains. |
Abstract
We present a reproducible corpus-topology pipeline and apply it to 224,215 text chunks from 2,700+ documents spanning religious canon, government FOIA records, UAP testimony, psychedelic ethnography, and comparative mythology.