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  "Title": "The Fill-Mask Association Test",
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  "Date": "2026-01-01",
  "Authors@R": "c(person(given = \"Han Wu Shuang\",\nfamily = \"Bao\",\nrole = c(\"aut\", \"cre\"),\nemail = \"baohws@foxmail.com\",\ncomment = c(ORCID = \"0000-0003-3043-710X\")))",
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  "Description": "The Fill-Mask Association Test ('FMAT')\n<doi:10.1037/pspa0000396> is an integrative, probability-based\nsocial computing method using Masked Language Models to measure\nconceptual associations (e.g., attitudes, biases, stereotypes,\nsocial norms, cultural values) as propositional semantic\nrepresentations in natural language. Supported language models\ninclude 'BERT' <doi:10.48550/arXiv.1810.04805> and its variants\navailable at 'Hugging Face'\n<https://huggingface.co/models?pipeline_tag=fill-mask>.\nMethodological references and installation guidance are\nprovided at <https://psychbruce.github.io/FMAT/>.",
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  "Encoding": "UTF-8",
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