The paper introduces an operational framework that distinguishes evaluation back‑action from observable output. It shows that order dependence in sequential judgments cannot be captured by Boolean‑like state updates. The framework models metacognitive evaluations as state‑transforming operations on an internal state space. Researchers designing AI agents should account for non‑commutativity when predicting evaluation outcomes.