11 citations · 11 across the 5 of their papers we have counts for
5 papers
Who Uses Open-Weight Models? China and the Shifting Geography of AI in Science
Zackary Okun Dunivin
As LLMs have become a flashpoint for scientific research, computer scientists and STS scholars have advocated the use of open-weight models. Since LLM research has matured and more…
From Bias Mitigation to Bias Negotiation: Governing Identity and Sociocultural Reasoning in Generative AI
Zackary Okun Dunivin, Bingyi Han, John Bollenbocher
LLMs act in the social world by drawing upon shared cultural patterns to make social situations understandable and actionable. Because identity is often part of the inferential sub…
Self-reflection in Automated Qualitative Coding: Improving Text Annotation through Secondary LLM Critique
Zackary Okun Dunivin, Mobina Noori, Seth Frey +1
Large language models (LLMs) allow for sophisticated qualitative coding of large datasets, but zero- and few-shot classifiers can produce an intolerable number of errors, even with…
Recommender systems, stigmergy, and the tyranny of popularity
Zackary Okun Dunivin, Paul E. Smaldino
Scientific recommender systems, such as Google Scholar and Web of Science, are essential tools for discovery. Search algorithms that power work through stigmergy, a collective inte…
Scalable Qualitative Coding with LLMs: Chain-of-Thought Reasoning Matches Human Performance in Some Hermeneutic Tasks
Zackary Okun Dunivin
Qualitative coding, or content analysis, extracts meaning from text to discern quantitative patterns across a corpus of texts. Recently, advances in the interpretive abilities of l…