Civilizational Failure Atlas v0.1 - A Meta-Governance Framework for Civilizational Non-Mergeability
Abstract
Abstract This paper introduces the Civilizational Failure Atlas (v0.1), a meta-governance framework for diagnosing and explaining civilization-scale systemic failures through the lens of non-mergeability. Building upon the Law of Non-Mergeability of Super-Institutions (LNMSI), this work extends the concept from institutional and organizational domains to full civilizational dynamics, including empires, platform ecosystems, and artificial intelligence stacks. We formalize Civilizational LNMSI (LNMSI-C) as an invariant governing failed attempts at large-scale unification across heterogeneous cognitive, incentive, temporal, and control-feedback structures. Contrary to prevailing assumptions that scale and integration yield synergy, LNMSI-C demonstrates that beyond identifiable thresholds, forced merger amplifies entropy rather than coherence. The paper further introduces a Civilizational Failure Archetype Map, identifying recurring structural failure patterns such as imperial overmerge, platform leviathans, and intelligence monocultures. These archetypes are synthesized into a four-layer Civilizational Failure Atlas, integrating cognitive split dynamics (CSE), cognitive species divergence (CSD), institutional violations (LNMSI), and execution-level collapse mechanisms. The central invariant demonstrated is that all civilization-scale collapses can be traced to illegitimate merge attempts across one or more civilizational layers. The Atlas provides a negative-design diagnostic tool, enabling early rejection of structurally impossible governance, platform, or intelligence unification projects before irreversible failure occurs.
Fields of Study & Subjects
Space Science and Extraterrestrial Life
Innovation
Sustainability
Human-Machine Systems
Embodied and Extended Cognition
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 January 2026
- Document type
- Preprint