{"id":"W4408741176","doi":"10.1080/02650487.2025.2477405","title":"Pride, not prejudice: a cross-cultural big data analysis of consumer reactions to rainbow-washing in advertising","year":2025,"lang":"en","type":"article","venue":"International Journal of Advertising","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pride; Advertising; Prejudice (legal term); Rainbow; Psychology; Business; Social psychology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003852315,0.0001871971,0.0001930467,0.001205997,0.001102467,0.001957685,0.0003633694,0.0004466716,0.0008003165],"category_scores_gemma":[0.01161829,0.0002066381,0.0003657837,0.001836466,0.001264509,0.001658982,0.001796811,0.0008993877,0.0002149974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006183087,"about_ca_system_score_gemma":0.0007929277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007095259,"about_ca_topic_score_gemma":0.01366006,"domain_scores_codex":[0.9982076,0.001065478,0.0001195696,0.0001841845,0.0002433105,0.0001798182],"domain_scores_gemma":[0.9906137,0.004804131,0.001718994,0.00140464,0.0009984649,0.0004600309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001860096,0.0002545397,0.8045577,0.0002118613,0.0001721647,0.0002957073,0.1584722,0.0002208371,0.001693337,0.002046704,0.002423101,0.02946578],"study_design_scores_gemma":[0.000009781016,0.0001335337,0.8076508,0.0001311637,0.00006825427,0.0002371136,0.1806495,0.001836657,0.0009746109,0.001300712,0.006958899,0.00004895777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980268,0.00004878478,0.0004534512,0.0002546262,0.000007824741,0.0000325468,0.0003513563,0.000003277366,0.0008213138],"genre_scores_gemma":[0.9978787,0.00005062,0.001065885,0.000139626,0.000007621691,0.00008451538,0.000515484,0.000007310636,0.0002502418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007095259,"threshold_uncertainty_score":0.02037328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06443239320962922,"score_gpt":0.3711724078026776,"score_spread":0.3067400145930483,"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."}}