2026/03/05 by Bernd von Mallinckrodt · 1 voice
paper · doi:10.5281/zenodo.18873433
openalex publication_date 2026/03/05 · openalex created_date 2026/03/06 · openalex updated_date 2026/07/01
This research addendum extends the Compression–Resonance–Tension Index (CRTI) and the Mallinckrodt Cycle within the broader framework of the Meta-Model of Singularization (V3.0). The central focus is the introduction of conflict-based resonance (Rconflict) as a diagnostic mechanism that can temporarily stabilize highly compressed complex adaptive systems. In many complex socio-technical systems, systemic failure is commonly associated with disorder or chaos. However, the Meta-Model of Singularization proposes the opposite dynamic: systems frequently fail due to absolutized order, where structural compression (Phi) increases while environmental resonance declines. This addendum explores a paradoxical phenomenon observed in late-stage system dynamics: systems may appear stable even when environmental feedback channels have largely collapsed. The proposed explanation is that internal conflict loops can generate a form of resonance that temporarily mimics systemic vitality. Within the CRTI framework, total resonance can be decomposed as: R = Renv + Rconflict where Renv represents resonance with the external environment and Rconflict represents internally generated friction loops within hierarchical or highly constrained structures. While conflict-based resonance can produce a temporary oscillatory stability (a “false plateau”), it simultaneously accelerates the depletion of systemic reserves and reduces the system’s capacity to process environmental complexity. The concept is connected to established research fields including: nonlinear dynamics (hysteresis and critical slowing down) network theory (k-core structures and echo chambers) control theory (positive feedback and limit cycles) critical transition research in complex adaptive systems The proposed framework provides a diagnostic perspective for identifying late-stage singularization processes in organizational, economic, and socio-technical systems. Keywords complex adaptive systems systemic risk nonlinear dynamics critical transitions network theory feedback loops organizational fragility CRTI Mallinckrodt Cycle singularization system compression complexity science