Currently in FirstView: In “Political DEBATE: Efficient Zero-Shot and Few-Shot Classifiers for Political Text,” Michael Burnham, Kayla Kahn, Ryan Yang Wang, and Rachel Peng introduce DEBATE, a new open source foundation model for classifying political documents.

Not sure who is right in the end, but all of these criticisms miss.

Check out my job market paper polisky! I use large language models to estimate ideal points. It allows you to separate policy and affect dimensions, and works with any corpus (voters, elites, rebel groups, short docs, long docs, etc.). No massive proprietary models (GPT) needed.

@profmusgrave.bsky.social Please add me to polisky, thanks!