The deployment of predictive modeling on credit data shifts the focus from retrospective auditing of delinquency to prospective tracking of individual financial trajectories. While the intent is to achieve evidence-based, targeted protection for consumers, the structure of the data science intervention inherently creates a framework where financial stability is quantified into discrete, measurable states, which can risk reducing complex lived experiences into statistical markers. The concept of ...