Quantum-Classical Boundary as Computational Phase Transition

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What the data actually shows: The apparent contradictions in quantum-classical boundary as computational phase transition dissolve when viewed through the lens of polarity and informational optimization.
Why this is necessary: Any consistent theory of a self-improving universe must produce quantum-classical boundary as computational phase transition as the attractor state that maximizes computational capacity.
What current approaches miss: Existing paradigms lack the conceptual tools to see quantum-classical boundary as computational phase transition as the inevitable outcome of a self-improving system.
If this is right: Raises the quality bar for future research by demanding testable predictions beyond mere consistency with existing data.

Series vertex. No documented primary-theorem join — Art.38 stays in the Idea Series.

Idea Series on X — Introduction · Index · Atlas

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Outside instrument

Crux

Stake a prior. Name the disagreement. Not a theorem.

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Outside the corpus

Journals, repositories, counters

information thermodynamics · consciousness. A paper can support a concept. It cannot support a necessity claim. Art.38 remains unproved by every card below.

Support · living source

Tight papers that bear on concepts inside Art.38. A DOI is not a join.

Landauer, R. (1961). Irreversibility and heat generation in the computing process. IBM J. Res. Dev. 5, 183.
Erasure has a thermodynamic cost — information is physical.
Does not support the necessity claim
Open original
Bak, P., Tang, C. & Wiesenfeld, K. (1987). Self-organized criticality: An explanation of the 1/f noise. Phys. Rev. Lett. 59, 381.
Systems that tune themselves to a critical attractor without external fine-tuning.
Does not support the necessity claim
Open original
Tononi, G. (2004). An information integration theory of consciousness. BMC Neurosci. 5, 42.
Consciousness as integrated information — a stabilizer-like quantity.
Does not support the necessity claim
Open originalNamed on Art.8
Dehaene, S. & Changeux, J.-P. (2011). Experimental and theoretical approaches to conscious processing. Neuron 70, 200.
Global-workspace ignition as a thresholded resolution event.
Does not support the necessity claim
Open original
Friston, K. (2010). The free-energy principle: a unified brain theory?. Nat. Rev. Neurosci. 11, 127.
Self-evidencing systems that maintain their own models against dissipation.
Does not support the necessity claim
Open original
Maldacena, J. (1999). The large N limit of superconformal field theories and supergravity. Adv. Theor. Math. Phys. 2, 231.
AdS/CFT — the holographic duality Art.8 names as a stabilizer analog.
Does not support the necessity claim
Open originalNamed on Art.8

Counter-arguments · refusing pole

One domain counter per cluster, not a repeating method quartet. The mirror reads these as enough to refuse necessity.

Cartwright, N. (1983). How the Laws of Physics Lie. Oxford Univ. Press.
Counter: laws are ceteris-paribus models, not boot-up outputs of a cosmic processor.
Does not support the necessity claim
Open originalNamed on Art.2, 101
Wigner, E. P. (1960). The unreasonable effectiveness of mathematics in the natural sciences. Commun. Pure Appl. Math. 13, 1.
Mathematics fits nature; that is not evidence the universe is rewriting its own code.
Does not support the necessity claim
Open original
Doerig, A., Schurger, A., Hess, K. & Herzog, M. H. (2019). The unfolding argument: why IIT and other causal structure theories cannot explain consciousness. Conscious. Cogn. 72, 49.
Counter: causal-structure theories of consciousness are either false or unscientific.
Does not support the necessity claim
Open originalNamed on Art.8
Chalmers, D. J. (1995). Facing up to the problem of consciousness. J. Conscious. Stud. 2, 200.
Counter: functional stabilization does not discharge the hard problem.
Does not support the necessity claim
Open original