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A Conceptual Government Model by D. Conterno (2026)

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 Tribal–Cluster–Network Governance with Elder Councils and AI Coordination: A Conceptual Government Model, Research Propositions, and an OECD-Mapped Pilot Evaluation Framework by D. Conterno     Abstract Across many jurisdictions, trust deficits, polarisation, corruption exposure, and slow conflict resolution indicate misfits between hierarchical, winner-takes-all governance and the networked complexity of modern societies (UNDP, 2023/2024). This journal-style manuscript formalises a “tribes–clusters–networks” proposal as a polycentric, deliberative governance architecture in which: I. “Tribes” are purpose-bound communities.             II. “Clusters” connect tribes via bridging representatives (“elders”).            III. An AI coordination layer provides decision-support, monitoring, and facilitation without sovereign power. The manuscript contribut...
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FROM REPUBLIC TO “EMPIRE”: A STAR WARS’ PALPATINE-INSPIRED WORST-CASE MODEL FOR THE UNITED STATES IN 2026–2028 by D. Conterno (2026)

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  FROM REPUBLIC TO “EMPIRE”: A STAR WARS’ PALPATINE-INSPIRED WORST-CASE MODEL FOR THE UNITED STATES IN 2026–2028 by D. Conterno (2026) Purpose and method (what this is and what it is not) This article is a red-team scenario exercise: a structured “worst-case” pathway that asks, “If democratic backsliding through executive aggrandisement were to accelerate, what might it look like, and what early warning indicators would we watch?” This is a standard analytic technique used to challenge complacency and reduce groupthink; the UK Ministry of Defence’s Red Teaming Handbook describes red teaming as a way to recognise and correct biased or constrained thinking before it hardens into faulty judgement. It is not an assertion that the U.S. government is running a Star Wars like Palpatine plan. It is a stress test of institutions. In democratic-backsliding research, Nancy Bermeo describes a shift away from overt coups towards “executive aggrandisement” and more subtle institutional erosi...
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