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Ignoring causality in algorithmic recourse can lead to misaligned behavioral responses that undermine predictive accuracy, but a causal approach stabilizes outcomes and reduces gaming incentives.
Superscoring inflates test scores and widens wealth-based disparities, while Single-Sitting preserves accuracy at the cost of excluding capable students.