PreprintCC BY 4.0Zenodo
The Chaos Tipping Point: A Syllogistic Critique of Modernity Test. A Formal Collaborative Framework on Systemic Decoupling and Physical Limits. Revelations of all that matters and the non-sequiturs—not nonsense—across the land.
Abstract
This framework establishes a rigorous, interdisciplinary collaborative audit examining the structural convergence of technological automation, central bank governance, and biophysical decoupling in modern institutional architectures. Operating under the binding bureaucratic and psychological protocol of simulated infallibility—the axiom that institutions are structurally barred from acknowledging internal errors—contemporary policy systems consistently substitute synthetic, legible metrics for complex physical, mathematical, and biological realities.
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BibTeX
@misc{montague2026chaos,
title = {{The Chaos Tipping Point: A Syllogistic Critique of Modernity Test. A Formal Collaborative Framework on Systemic Decoupling and Physical Limits. Revelations of all that matters and the non-sequiturs—not nonsense—across the land.}},
author = {Riccardo Montague and AI Collaborator},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23633717},
url = {https://zenodo.org/records/23633717},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - The Chaos Tipping Point: A Syllogistic Critique of Modernity Test. A Formal Collaborative Framework on Systemic Decoupling and Physical Limits. Revelations of all that matters and the non-sequiturs—not nonsense—across the land.
AU - Riccardo Montague
AU - AI Collaborator
PY - 2026
DA - 2026/10/25
PB - Zenodo
DO - 10.5281/zenodo.23633717
UR - https://zenodo.org/records/23633717
AB - This framework establishes a rigorous, interdisciplinary collaborative audit examining the structural convergence of technological automation, central bank governance, and biophysical decoupling in modern institutional architectures. Operating under the binding bureaucratic and psychological protocol of simulated infallibility—the axiom that institutions are structurally barred from acknowledging internal errors—contemporary policy systems consistently substitute synthetic, legible metrics for complex physical, mathematical, and biological realities.
ER -