Technological Circuit: Interactive Anonymisation in Digital Academic Environments — Dynamic Cryptographic Profiles and Stylometric Blurring Methods within Chronicle OS

Conventional single-blind and double-blind peer review models increasingly encounter structural limitations in digitally mediated scholarly communication. Search engine correlation, metadata persistence, and contemporary stylometric attribution methods substantially reduce the practical effectiveness of formal anonymisation procedures. This paper outlines a conceptual framework for interactive anonymisation developed within the Chronicle OS research environment. The proposed model combines temporary cryptographic identities (X-profiles), an asynchronous Reviewer X / Author X interaction layer, and a Stylometric Blurring mechanism intended to reduce the reliability of probabilistic authorship attribution based on textual patterns.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-08
DOI
https://doi.org/10.5281/zenodo.20606191
Primary Topic
Authorship Attribution and Profiling
Type
article
Field-Weighted Citation Impact
0.00
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article

Technological Circuit: Interactive Anonymisation in Digital Academic Environments — Dynamic Cryptographic Profiles and Stylometric Blurring Methods within Chronicle OS

Oleksandr Purpurov
Zenodo (CERN European Organization for Nuclear Research)
Authorship Attribution and Profiling
article

Technological Circuit: Interactive Anonymisation in Digital Academic Environments — Dynamic Cryptographic Profiles and Stylometric Blurring Methods within Chronicle OS

Oleksandr Purpurov
article en

Abstract

Conventional single-blind and double-blind peer review models increasingly encounter structural limitations in digitally mediated scholarly communication. Search engine correlation, metadata persistence, and contemporary stylometric attribution methods substantially reduce the practical effectiveness of formal anonymisation procedures. This paper outlines a conceptual framework for interactive anonymisation developed within the Chronicle OS research environment. The proposed model combines temporary cryptographic identities (X-profiles), an asynchronous Reviewer X / Author X interaction layer, and a Stylometric Blurring mechanism intended to reduce the reliability of probabilistic authorship attribution based on textual patterns.

Zenodo (CERN European Organization for Nuclear Research)
University of Bechar (DZ)
Quality Education
Openalex Percentile: Top 3%
Authorship Attribution and Profiling
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