A specialist that takes text as input and produces embeddings tuned for predicting aesthetic quality scores. It draws on multiple aesthetic datasets (SAC, LOGOS, AVA) and uses a linear regression head trained with mean squared error, making its outputs numerically calibrated rather than abstract. It is narrow by design — don't expect general-purpose language understanding here.