
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.
Temporal Registration, Algorithmic Governance, Record Continuity, Inscription Technologies, Political Ontology, History and Power, Registration Regime Theory, Hidden Architecture of History, Ontological Infrastructure
Temporal Registration, Algorithmic Governance, Record Continuity, Inscription Technologies, Political Ontology, History and Power, Registration Regime Theory, Hidden Architecture of History, Ontological Infrastructure
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
