Research

Published research

From informational periodization to socio-technical supercompensation in high-complexity legal practice.

New preprint

The Epistemology of SSLOO: Workload Periodization, Symbiotic Pauses, and Socio-Technical Supercompensation in High-Complexity Legal Practices

Research Square • Research Article • Version 1 • August 11, 2026 • CC BY 4.0

The article formalizes SSLOO as a workload-governance architecture: it alternates demand cycles, symbiotic pauses, active recovery and audit-ready memory to preserve human judgment, continuity and performance in complex legal practice.

Public preprint associated with the AI & SOCIETY editorial workflow. The manuscript has not yet undergone peer review.

Cognitive governance; periodization; Human-AI symbiosis; cognitive load; socio-technical supercompensation; active recovery.

Open on Research Square Download PDF DOI 10.21203/rs.3.rs-10566077/v1

SHA-256 65FB84D9C127F077B240AB550049035451CEA577C2F43D9435B8338CBBE518B4

Open publication

Working Paper No. 01 — Algorithmic Stress and the Collapse of Cognitive Load

Preprint • Version 1.0 • July 28, 2026 • CC BY 4.0

Open on Zenodo DOI 10.5281/zenodo.21569973

Title

Algorithmic Stress and the Collapse of Cognitive Load: Methodological Foundations for Informational Periodization in Human-AI Symbiosis.

Publication

Zenodo • Preprint • Version 1.0 • Published July 28, 2026 • DOI 10.5281/zenodo.21569973.

Abstract

The paper presents Human-AI Informational Periodization as a methodological model for mitigating cognitive overload and false fluency in generative AI environments, connecting Contextual Reconstruction Load, Audit-Ready External Memory and human validation.

Methodological lock

The physiology analogy does not claim that AI is a biological organism; it proposes a functional matrix for studying complex systems under load, response, noise, feedback and adaptation.

Keywords

SIOJ; cognitive governance; Human-AI symbiosis; cognitive load; algorithmic stress; legal interoperability.