Code and data for: A dual-process standard for using large language models as human participants in personality research

Le résumé fourni par la source

Data and analysis code supporting the manuscript "A dual-process standard for using large language models as human participants in personality research"The deposit contains anonymised human questionnaire responses, model-generated responses, the administered instruments, persona prompts, and the complete analysis pipeline. Full contents, the display-item-to-script mapping, environment requirements and third-party data terms are documented in the README.md inside the deposit.The record is held as a restricted draft during peer review and will be opened, with an expanded description, upon acceptance. Code is released under MIT; data and generated outputs under CC BY 4.0, except third-party materials, which retain their original terms as documented in README.md.

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