Mathematical Estimation
Roles: estimator, estimate, confidence-interval, error, approximation, convergence
The practice of producing approximate values when exact computation is infeasible or unnecessary. As a source domain, estimation foregrounds the gap between precision and accuracy: an estimate can be precise (many decimal places) without being accurate (close to the true value), and vice versa. Structurally productive because it makes the cost of measurement explicit, distinguishes between systematic and random error, and encodes the insight that all prediction is estimation under uncertainty.