The Legibility Gap: How Gender Equity Interventions Redistribute Recognition Across Cultures

A new study identifies a 'legibility gap' in gender equity interventions that rely on name-based inference for quantifying representation. This gap occurs because linguistic cues signalling gender in names can be obscured during transliteration into English, leading to systematic under-recognition of women whose names lose these cues. The research indicates that current gender equity efforts may inadvertently favor women whose names clearly signal gender, potentially exacerbating disparities in recognition within scientific fields.

Why it matters

This research highlights a critical flaw in current data-driven approaches to gender equity, indicating that reliance on name-based inference can create unintended biases and perpetuate inequities. Addressing this 'legibility gap' is essential for ensuring that diversity, equity, and inclusion initiatives are truly inclusive and effective across diverse cultural and linguistic backgrounds, rather than inadvertently disadvantaging specific groups.

Key insights

• Gender equity interventions in science frequently utilize name-based inference to measure representation and inform policy.
• Linguistic cues indicating gender vary across cultures and are often lost when names are transliterated into English.
• A 'legibility gap' exists where equity interventions disproportionately benefit women whose names signal gender effectively.
• Women whose names lose gender cues during translation are systematically bypassed by these interventions.
• Observational and experimental evidence suggests this gap significantly reshapes recognition patterns in science.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.20827