Anonymized code, prompts, raw model responses, and analysis scripts supporting the manuscript "Aligning With Whom? The Cultural Limits of Constitutional AI," currently under double-blind peer review. **Version 2**: Adds `scripts/additional_analyses.py` (bootstrap CIs on Inglehart-Welzel dimensions and item-level binomial sensitivity test for directional steerability) and minor figure-resolution updates (300 DPI for fig1_cultural_map.png and steerability_heatmap.png). All other analyses, raw data, and processed outputs are unchanged from version 1. Contents:- src/: Python source for item selection, prompt generation, API calls, response parsing, statistical analyses, and figure generation- data/: World Values Survey items selected for the study (from the GlobalOpinionQA dataset) and country-level response means for 90 nations- prompts/: All 770 generated prompts (55 Format A direct survey + 715 Format B advice-seeking with cultural context)- results/: Raw API responses, parsed Format A data, LLM-coded Format B data, generated figures, statistical tables, and human inter-rater validation sample- scripts/: Validation spreadsheet generator (create_validation_spreadsheet.py) and additional reviewer-requested analyses (additional_analyses.py: bootstrap IW dimensions + item-level binomial) This deposit is anonymized for double-blind peer review. Author identity, institutional affiliation, and the public source code repository will be linked upon publication acceptance. Models tested: claude-sonnet-4-20250514 (primary), claude-haiku-4-5-20251001 (cross-model replication).