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Portraits of Graduate Advising: Advisor Rating Correlates and an Evidence-Based Rubric for PhD Applicants

Analysis of 11,311 advisor profiles and 12,344 bilingual reviews from the OpenAdvisor platform. Ratings are strongly bimodal; professional metrics (h-index, citations) explain essentially no rating variance; keyword theme classification over-identifies themes in Chinese text by ~35x versus LLM classification. Produces a 10-dimension, behavior-only advisor-selection rubric and an interactive advisor helper tool that outputs a preliminary read plus a structured prompt for LLM-assisted analysis.

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