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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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THE GREAT INSCRIPTION Registration Regime Theory and the Hidden Architecture of History

Authors: Arı, Ali;

THE GREAT INSCRIPTION Registration Regime Theory and the Hidden Architecture of History

Abstract

This paper introduces Registration Regime Theory (RRT) as a foundational framework that reinterprets human history through the architecture of inscription and record continuity. Moving beyond conventional political explanations, the study argues that what is continuously registered rather than merely experienced constitutes the ontological base of social and political power. Across historical epochs—from embodied mnemonic practices to written archives and contemporary algorithmic systems—the paper explores how systems of registration shape identity, obligation, property, and governance. It further theorizes registration fracture as a condition of ontological erasure, leading to legal nonexistence and conflict. The extension of RRT into digital regimes suggests that algorithmic registration transforms memory into prediction, and identities into data profiles.

Keywords

Temporal Registration, Algorithmic Governance, Record Continuity, Inscription Technologies, Political Ontology, History and Power, Registration Regime Theory, Hidden Architecture of History, Ontological Infrastructure

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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