Consent-Theoretic Framework for Quantifying Legitimacy: Stakes, Voice, and Friction in Adversarial Governance
Abstract
Abstract This paper develops a unified analytical framework for measuring political legitimacy across heterogeneous governance domains. Building on insights from constitutional political economy, social choice theory, and institutional analysis, the framework establishes consent-holding as a structural necessity of collective action. Legitimacy is operationalized as stakes-weighted consent alignment α(d,t), while friction F(d,t) measures the deviation between outcomes and stakeholder preferences. Key Contributions Five axioms, five theorems: Formal framework bridging normative democratic theory and empirical prediction Historical validation: Suffrage expansion, abolition, labor rights, and platform governance examined with quantified α/F trajectories Computational validation: Monte Carlo (1000 runs) with Bayesian learning agents shows stakes-weighted DoCS achieves highest alignment (α = 0.872) with lowest friction (94.9% reduction) Consent vs competence resolved: Domain-specific approach shows both as complementary dimensions of institutional legitimacy V-Dem v15 empirical data: Five countries, 1789–2024, quantifying suffrage and abolition trajectories Scope 140-page monograph (v2.0.0), 5 Parts, 21 sections, 4 appendices. The most comprehensive paper in the portfolio. Working Paper DAI-2501. Links SSRN: SSRN:5918222 ASCRI: systems.ac/1/DAI-2501 Research Lab: Dissensus AI v2.0.1 (2026-07-11): Corrected build: the previously deposited v2.0.0 PDF was generated from a superseded draft carrying statistical diagnostics (Ljung-Box, Friedman, Nemenyi) that are absent from the v2.0.0 source and could not be substantiated. The deposit now matches the clean v2.0.0 source build (142pp). No other content changes.
Fields of Study & Subjects
Computational and Text Analysis Methods
Ethics and Social Impacts of AI
Populism
Right-Wing Movements
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 July 2026
- Document type
- Preprint