Abstract for: Indicator trap in Public Management: Ontologic Recoupling for Sustainability

Sustainability governance faces a critical challenge: the "Indicator Trap", where administrative reporting cycles (λ) lag behind territorial realities (τ ). This paper introduces a pioneering framework designed to transform social monitoring from a static bureaucratic exercise into a dynamic, science-based diagnostic tool for systemic integrity. We utilize Qualitative System Dynamics (QSD) to evaluate the transition toward \textit{Sisbén Científico}. By leveraging the high-resolution data, we model how this new scientific approach mitigates the "Shifting the Burden" archetype. The methodology focuses on re-coupling social focalization with biophysical and territorial feedback loops through advanced systems modeling. Our analysis demonstrates that our framework acts as a "Simulation Bridge", effectively eliminating the "Zone of False Security" common in traditional metrics. By synchronizing adminis- trative data with territorial time constants, new framework provides a robust early-warning system that identifies structural vulnerabilities before they manifest as irreversible socio-ecological decay. Our framework represents a paradigm shift toward "Adaptive Governance". We propose that this scientific evolution of social indicatorssupported by dual-clock reporting and simulation-based due diligencepositions Colombia as a global reference. This initiative shifts the focus from simple compliance to a sophisticated maintenance-oriented system for territorial and human flourishing. Generative AI was used for editorial refinement, structural organization of the LaTeX manuscript, and translation support. No AI was used for model conceptualization or data analysis.