Assess ability to evaluate the validity and reliability of computational authorship attribution for contested literary texts, covering stylometric features, machine‑learning models, corpus selection and preprocessing, statistical validation (cross‑validation, significance, effect sizes), robustness to confounders (genre, chronology, editions), reproducibility, interpretability, and ethical/epistemological issues; tasks include critiquing studies, identifying methodological flaws, designing validation protocols, and recommending improvements.