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Is Research Safe in the AI Revolution? LLMs Fall Short of Expert Benchmarks in Scientific Evidence Evaluation
12 references·1 citing·51 second hop
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References

  • 2004Mixed Methods Research: A Research Paradigm Whose Time Has Come11,161 cited
  • 2007Strictly Proper Scoring Rules, Prediction, and Estimation5,771 cited
  • 2014Beyond Power Calculations1,341 cited
  • 2018Statistical Inference as Severe Testing375 cited
  • 1995Bridging the Quantitative-Qualitative Divide in Political Science238 cited
  • 2025Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions120 cited
  • 2025“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs)90 cited
  • 2025Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models23 cited
  • 2021Intelligent Technologies and Methodological Transformations in the Social Sciences19 cited
  • 2024Leveraging computational methods for nonprofit social media research: a systematic review and methodological framework14 cited
  • 2026Rolling Memory: A New Approach to Annotation with Generative LLMs in Social and Political Research12 cited
  • 2026LLM-Based Viewpoint Mining in the “Blame Game”: How U.S. Media Frame China’s Debt Debate12 cited

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  • 2026Piercing a Methodological Bubble: Large Language Models and the Social Sciences2 cited

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