Pre-existing categorical models shape how both actors and analysts identify complex events

Evidence

Second, answering the question returns us to the distinction between causal coherence and symbolic coherence. It brings out the importance of previously existing models for identification of a complex series of events as a revolution, a rebellion, a coup, civil war, or genocide. Those models affect both participants and analysts, as they compare the events at hand with previous events that might belong in the same category. — Charles Tilly, Regimes and Repertoires, 948

Categorization

  • XREF: Connects to ch6 notes that many phenomena are symbolically unified but lack causal coherence; this reinforces the causal-coherence vs symbolic-coherence distinction across chapters. — connects to: Complex tools preceded and drove the evolution of causal-model reasoning. — Joseph Henrich, The Secret of Our Success: How Culture…, 1041; Narrative structure models how categories travel across ontologies into AI systems — , The Braided Reading EPUB: 5-Year…, 2384; Language’s sequential nature forces analysts to hold multiple systems in tension at once (+3 more)
  • DEFINE: Defines the causal/symbolic coherence distinction as it applies to event classification.
  • recurring: this claim recurs 2 times within its source

Broader Connections