A Normative Meta-Level Methodological Framework for Scientific Research Based on HDCST Principles and Controlled Use of AI Tools

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Zvonko Vulicevic
DOI: 10.5281/zenodo.18164097
Cited by: 0

Abstract

Normative, meta-level methodological framework for scientific research under uncertainty and AI-assisted workflows. The framework prioritizes stability, phase locking, ethical control, and misuse resistance over optimization or performance guarantees. It introduces explicit entry conditions (G0), error-first analysis, and strict prohibition of retroactive rationalization.

Fields of Study & Subjects

Scientific Computing and Data Management Model Reduction and Neural Networks Philosophy and History of Science

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 January 2026
Language
EN