The Neural Nations research programme—conceived in 2024 and synthesized in the November 2026 master treatise The Natural History of Civilisations by Kari Freyr McKern—attempts to transform historiography into a quantitative natural science. It conceptualizes durable human organizations as dissipative meta-organisms that persist far from thermodynamic equilibrium.
CAMS identifies eight invariant coordination problems that every differentiated society must solve:
The framework translates qualitative historiography into a 32-dimensional dynamical state space. At each time step, each of the eight nodes is evaluated across four dimensions: Coherence (C), Capacity (K), Stress (S), and Abstraction (A).
The Extended Social Cognition Hypothesis is operationalized via the Cognitive Activation operator (\(\sigma_i = (A_i \cdot C_i) \cdot (K_i - S_i)\)), which mathematically formalizes how meaning and metabolism intersect.
McKern demonstrates an extraordinary level of methodological discipline. Independent researchers are notoriously vulnerable to confirmation bias, but she actively weaponizes open-science audit culture. She pre-registers predictions, uses cryptographic hash seals, and publishes all datasets openly. A blind era-recognition experiment in November 2026 saw frontier AI models recover 100% of core historical eras from the eight-number functional vector alone.
The conceptual straightforwardness of CAMS is a feature rather than a flaw. By reducing societal coordination to eight functional nodes and four vital metrics, the framework avoids esoteric, over-fitted mathematics. The most interesting aspect of the project is its mathematical unification of meaning and metabolism, formalizing why collapsing systems often produce their most elaborate doctrinal artefacts precisely when their material capacity is imploding.