Call for Papers — PS: Political Science & Politics, Special Issue: Validation Standards in Text-as-Data Political Science ====================================================================== Call for Papers / Chapters · PS: Political Science & Politics (American Political Science Association) PS: Political Science & Politics invites submissions for a special issue, "From Appendix to Spotlight: Validation Standards in Text-as-Data Political Science," which aims to make validation a first-order scholarly contribution in text-as-data research. Welcome contributions include rigorous accounts of internal and external validation, studies of domain shift, audits of off-the-shelf models and LLM-based classifiers, comparisons of zero/few-shot prompting versus fine-tuned models, work on human-in-the-loop annotation and coder agreement, and benchmarking or meta-research contributions. The journal particularly encourages work by underrepresented groups, practitioners beyond academia, and authors based outside the United States. Manuscripts must be under 4,800 words (including notes and references), in Word, following the APSA Manual of Style, with code and, where possible, data and annotation schemes provided. Institution: PS: Political Science & Politics (American Political Science Association) Location: American Political Science Association / Cambridge University Press Eligibility: Internal and external validation, audits of LLM/text-as-data classifiers, human-in-the-loop annotation, weak supervision, benchmarking and meta-research in text-as-data political science Format: Full-length research articles, under 4,800 words incl. notes/references; Word; APSA Manual of Style; code/data encouraged Deadline: 2026-11-01 Shared by: a community member Apply / register: https://www.editorialmanager.com/ps Official notification: https://apsanet.org/publications/journals/ps-political-science-politics/calls-for-papers/ Page: https://caprajasthan.org/notice/call-for-papers-ps-political-science-politics-special-issue-validation-standards-in-text-as-data-political-science/