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Why are women underrepresented in the fields of science, technology, and innovation? Using a sample of Gates and NIH grant applications submitted by a common pool of US-based academic researchers, we implement a range of text analysis methods associated with gendered language. We find that despite significant institutional differences, there are consistent gender differences in scientific communication. By contrast, we find starkly differing impacts of these text characteristics on funding outcomes across our institutional settings. Our findings suggest that institutional reform is likely to be a viable strategy for increasing gender inclusion in science and technology.
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Stored only when both papers are in the corpus — 23 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.