Identity Fracture Quantification Framework (IFQF) Dynamic Identity Fracture Quantification with Aeora v4.x Integration
The Identity Fracture Quantification Framework (IFQF) introduces a dynamic model for analyzing how identity coheres, fragments, and re-stabilizes under complex internal and external pressures. By combining structured fracture scoring with Aeora v4.x orbital identity physics, the framework treats identity as a living, multi-scale system influenced by narrative stability, trauma, cultural gravity, social reciprocity, and temporal drift. Key contributions include: Branch-based modeling: Core Self Stability, Social Alignment, Cognitive Dissonance, Adaptive Agency, and Environmental/Cultural Pressure. Temporal dynamics: micro-weather, renewal cycles, and long-term decay. Nonlinear responses: threshold events and entropy sinks driving abrupt state changes. Aeora modules: modifiers such as Affective Weather, Digital Moons, and Narrative Core simulate realistic identity “orbits.” Applications: research, predictive modeling, therapeutic planning, and cultural/media analysis. The IFQF framework provides a simulation-ready structure, enabling both quantitative tracking and qualitative insight into identity fracture patterns. This allows for multi-scale resilience modeling—from the individual psyche to collective cultural shifts—while supporting adaptive intervention strategies.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-02
- DOI
- https://doi.org/10.5281/zenodo.17251518
- Primary Topic
- Bacterial Genetics and Biotechnology
- Type
- article
- Field-Weighted Citation Impact
- 0.00