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AI Coding Agents in Social Science: Methodologically Diverse, Empirically Consistent, Interpretively Vulnerable

arXiv cs.CL · yesterday Cached

This paper evaluates LLM-based coding agents (Claude Code and Codex) in social science analysis, finding they match or exceed human methodological diversity while remaining vulnerable to interpretation bias through verdict-layer manipulation.

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