Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Brandon_M._Stewart>
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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Musashi_Hinck>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Naoki_Egami>
foaf:homepage	<http://papers.nips.cc/paper_files/paper/2023/hash/d862f7f5445255090de13b825b880d59-Abstract-Conference.html>
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dcterms:issued	2023 (xsd:gYear)
rdfs:label	Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Naoki_Egami>
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dc:title	Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models. (xsd:string)
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