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.
Oleksandr Purpurov (Mon,) studied this question.