• GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.

Article Summaries:

  • OpenAI has released GABRIEL, an open‑source toolkit that applies GPT models to convert qualitative text and image data into quantitative metrics. Designed for social scientists, the tool automates the transformation of narrative content-such as interview transcripts, survey responses, and visual media-into structured data that can be statistically analyzed at scale. By streamlining coding and coding consistency, GABRIEL aims to accelerate large‑scale studies and improve reproducibility in social science research. The release underscores OpenAI’s focus on providing AI tools that support rigorous, data‑driven inquiry across the humanities and social sciences.

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