{"id":"W4416872671","doi":"10.1162/coli.a.583","title":"LLMs and Cultural Values: The Impact of Prompt Language and Explicit Cultural Framing","year":2025,"lang":"en","type":"article","venue":"Computational Linguistics","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Canada First Research Excellence Fund","keywords":"Framing (construction); Cultural diversity; Cultural values; Cultural bias; Hofstede's cultural dimensions theory; Perspective (graphical); Set (abstract data type); Cultural issues; Cultural psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004024454,0.00008326643,0.0001422692,0.00005551491,0.0004167238,0.00009812474,0.0001032922,0.00003770181,0.00001392014],"category_scores_gemma":[0.00239773,0.00005372548,0.00006705699,0.0002688256,0.0002761184,0.00003202524,0.00004826257,0.00008722962,8.936158e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003534205,"about_ca_system_score_gemma":0.0001334909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106062,"about_ca_topic_score_gemma":0.0000324171,"domain_scores_codex":[0.9992124,0.0001418587,0.0001880487,0.0001355176,0.0002100066,0.0001121155],"domain_scores_gemma":[0.998255,0.001036329,0.00008711043,0.00005016571,0.000527157,0.00004429514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002982253,0.00009440942,0.03414664,0.00006631383,0.0003587259,0.00000491444,0.0751088,0.0353794,0.0001268491,0.8259392,0.001538897,0.02720597],"study_design_scores_gemma":[0.000684448,0.00009004586,0.320834,0.0001501032,0.0002162762,0.000003869476,0.02524151,0.2513372,0.00005008224,0.396633,0.004390483,0.0003690619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730208,0.00123338,0.01214193,0.0003276948,0.000215742,0.0001698071,0.00001849625,0.00003314657,0.01283901],"genre_scores_gemma":[0.9884768,0.00002379628,0.01076517,0.00005151771,0.0002866309,0.000002944365,0.00002091017,0.000002859458,0.0003693498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4293063,"threshold_uncertainty_score":0.3205145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104474476676788,"score_gpt":0.4318547238264057,"score_spread":0.4008099790596378,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}