J C Hoffman

This study evaluates how face-to-BMI Vision Transformer models perform across diverse human populations, finding that training on population-specific data improves accuracy, while global training data enhances performance in underrepresented groups.

The paper critiques a study claiming foraging societies lack gendered labor divisions, finding methodological flaws and emphasizing the importance of broader labor roles.