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Published November 10, 2025 | Version v4
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Civilizational Scaffolding Entropy: A Mathematical Framework for Systemic Collapse

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We define civilizational scaffolding as the system‑level support that sustains human life and social order across five load‑bearing domains: ecology, culture, technology, economy, and politics. We introduce civilizational scaffolding entropy, a named family of normalized disorder measures linked to a coupling map and thresholds to trace how strain propagates. Two routes to failure emerge: stronger cross‑domain ties or slower recoveries shrink the stability margin so small shocks travel farther; once thresholds are breached, contagion accelerates along active links. The framework yields an early‑warning dashboard: slowing recoveries, a unit‑free and threshold‑free spectral margin, and two threshold‑aware gauges for progress to breach and remaining headroom. Under a stated normalization, the spectral check is a sufficient early‑warning test. We also cover exogenous catastrophic (“jump‑type”) shocks by two sufficiency‑only checks summarized in Appendix G: a trigger‑aware inward‑drift bound and a windowed spectral‑margin test; we additionally report a compact window‑level robustness strength  that aggregates these headrooms. Policy: reweighting domains only re‑averages stress and cannot move the stability boundary; adjusting couplings or recovery rates can. Targeted decoupling or faster recovery restores safety with limited performance loss. In a 2008 case study, a smoothed stability indicator entered its warning zone in 2006, over two years before the Lehman collapse; on our 0-V post‑event severity scale, the 2007-2009 window grades Level III (open); the framework guides policy within the stability boundary.

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References

  • Shannon, C. E. (1948). A Mathematical Theory of Communication. Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  • Georgescu-Roegen, N. (1971). The Entropy Law and the Economic Process. Harvard University Press.
  • Cline, E. H. (2014). 1177 B.C.: The Year Civilization Collapsed. Princeton University Press.
  • Ward-Perkins, B. (2005). The Fall of Rome and the End of Civilization. Oxford University Press.
  • Helbing, D. (2013). Globally networked risks and how to respond. Nature, 497(7447), 51–59. https://doi.org/10.1038/nature12047
  • Tainter, J. A. (1988). The Collapse of Complex Societies. Cambridge University Press.
  • Diamond, J. (2005). Collapse: How Societies Choose to Fail or Succeed. Viking Press.
  • Haldane, A. G., & May, R. M. (2011). Systemic risk in banking ecosystems. Nature, 469(7330), 351–355. https://doi.org/10.1038/nature09659
  • Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., & Havlin, S. (2010). Catastrophic cascade of failures in interdependent networks. Nature, 464(7291), 1025–1028. https://doi.org/10.1038/nature08932
  • Scheffer, M., Carpenter, S., Foley, J. A., Folke, C., & Walker, B. (2001). Catastrophic shifts in ecosystems. Nature, 413(6856), 591–596. https://doi.org/10.1038/35098000
  • Bailey, K. D. (1990). Social Entropy Theory. State University of New York Press.
  • Bristow, D. N., & Kennedy, C. A. (2015). Why Do Cities Grow? Insights from Nonequilibrium Thermodynamics at the Urban and Global Scales. Journal of Industrial Ecology, 19(2), 211–221. https://doi.org/10.1111/jiec.12239
  • Sornette, D. (2003). Why Stock Markets Crash: Critical Events in Complex Financial Systems. Princeton University Press.
  • Mirowski, P. (1989). More Heat than Light: Economics as Social Physics, Physics as Nature's Economics. Cambridge University Press.
  • Box, G. E. P. (1976). Science and statistics. Journal of the American Statistical Association, 71(356), 791–799. https://doi.org/10.1080/01621459.1976.10480949
  • Yoffee, N., & Cowgill, G. L. (1988). The Collapse of Ancient States and Civilizations. University of Arizona Press.
  • Vidyasagar, M. (2002). Nonlinear Systems Analysis (2nd ed.). SIAM (Classics in Applied Mathematics, 42). 〔ISBN 0898715261〕
  • May, R. M. (1972). Will a large complex system be stable? Nature, 238(5364), 413–414. https://doi.org/10.1038/238413a0
  • Scheffer, M., Bascompte, J., Brock, W. A., Brovkin, V., Carpenter, S. R., Dakos, V., Held, H., van Nes, E. H., Rietkerk, M., & Sugihara, G. (2009). Early-warning signals for critical transitions. Nature, 461(7260), 53–59. https://doi.org/10.1038/nature08227
  • Shiner, J. S., Davison, M., & Landsberg, P. T. (1999). Simple measure for complexity. Physical Review E, 59(2), 1459–1464. https://doi.org/10.1103/PhysRevE.59.1459
  • Hochberg, Y., & Tamhane, A. C. (1987). Multiple Comparison Procedures. Wiley. http://doi.org/10.1002/9780470316672
  • Horn, R. A., & Johnson, C. R. (2012). Matrix Analysis (2nd ed.). Cambridge University Press. http://doi.org/10.1017/CBO9781139020411
  • Filippov, A. F. (1988). Differential Equations with Discontinuous Right Hand Sides. Dordrecht: Kluwer (Mathematics and Its Applications, 18). http://doi.org/10.1007/978-94-015-7793-9
  • Blanchini, F. (1999). Set invariance in control. Automatica, 35(11), 1747–1767. http://doi.org/10.1016/S0005-1098(99)00113-2
  • Stewart, G. W., & Sun, J.-G. (1990). Matrix Perturbation Theory. Academic Press.
  • Kloeden, P. E., & Platen, E. (1992). Numerical Solution of Stochastic Differential Equations. Springer. http://doi.org/10.1007/978-3-662-12616-5
  • Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring Economic Policy Uncertainty. Quarterly Journal of Economics, 131(4), 1593–1636. http://doi.org/10.1093/qje/qjw024
  • Svoboda, M., LeComte, D., Hayes, M., Heim, R., et al. (2002). The Drought Monitor. Bulletin of the American Meteorological Society, 83(8), 1181–1190. http://doi.org/10.1175/1520-0477-83.8.1181
  • Choi, H., & Varian, H. R. (2012). Predicting the Present with Google Trends. Economic Record, 88(S1), 2–9. http://doi.org/10.1111/j.1475-4932.2012.00809.x
  • Basel Committee on Banking Supervision. Guidance for National Authorities Operating the Countercyclical Capital Buffer; Bank for International Settlements: Basel, Switzerland, 2010. Available online: https://www.bis.org/publ/bcbs187.pdf
  • Chwieroth J.M.; Walter A. Banking crises and politics: A long-run perspective. International Affairs 2017, 93 (5), 1107–1129. https://doi.org/10.1093/ia/iix145
  • Kraskov, A., Stögbauer, H., & Grassberger, P. (2004). Estimating mutual information. Physical Review E, 69(6), 066138. http://doi.org/10.1103/PhysRevE.69.066138
  • Diamond, J. Collapse: How Societies Choose to Fail or Succeed; Viking: New York, NY, USA, 2005.
  • Herrin, J. Byzantium: The Surprising Life of a Medieval Empire; Princeton University Press: Princeton, NJ, USA, 2007.
  • Hosking, G. Russia and the Soviet Union: 1917–1991; Routledge: London, UK, 2001.
  • Menkhaus, K. The crisis in Somalia: Tragedy in five acts. African Affairs 2007, 106, 357–390. https://doi.org/10.1093/afraf/adm040
  • Shennan, S. J. (2001). Demography and cultural innovation: A model and some implications for the emergence of modern human culture. Cambridge Archaeological Journal, 11, 5–16.
  • Clausewitz C. von. On War. Translated by Michael Howard & Peter Paret. Princeton, NJ: Princeton University Press, 1982 (orig. 1832).
  • Freedman L. The Future of War: A History. London: Allen Lane / Penguin, 2017.
  • Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., & Farmer, J. D. (1992). Testing for nonlinearity in time series: the method of surrogate data. Physica D, 58(1–4), 77–94. http://doi.org/10.1016/0167-2789(92)90102-S
  • Welch, P. D. (1967). The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms. IEEE Transactions on Audio and Electroacoustics, 15(2), 70–73. http://doi.org/10.1109/TAU.1967.1161901
  • Øksendal, B. (2003). Stochastic Differential Equations: An Introduction with Applications (6th ed.). Springer. http://doi.org/10.1007/978-3-642-14394-6