{"id":"W2118633702","doi":"10.1177/0002764210381728","title":"Culture, Rap Music, “Bitch,” and the Development of the Censorship Frame","year":2010,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Music History and Culture","field":"Arts and Humanities","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Censorship; Popular music; Sociology; Deviance (statistics); Mass media; Framing (construction); Popular culture; Public opinion; Demonization; Media studies; Social psychology; Psychology; Political science; Law; Politics; Visual arts; History; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004227224,0.0003057944,0.000225368,0.00244341,0.006868164,0.007525239,0.0009070634,0.001502503,0.001909082],"category_scores_gemma":[0.00869536,0.0002033184,0.000154622,0.001136042,0.04410381,0.005303464,0.00445605,0.002600692,0.0001138439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917472,"about_ca_system_score_gemma":0.001705994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005018301,"about_ca_topic_score_gemma":0.006776426,"domain_scores_codex":[0.9953061,0.003339627,0.0001396106,0.0003205138,0.0005654241,0.0003287397],"domain_scores_gemma":[0.9902778,0.005457386,0.002149126,0.0009139825,0.0005651056,0.0006365851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007695943,0.00006385188,0.01471878,0.0001119115,0.00001747202,0.0006446132,0.3885037,0.0001563694,0.0006889542,0.5607731,0.00115709,0.03308718],"study_design_scores_gemma":[0.00003598855,0.0001803661,0.053003,0.001012543,0.00005502082,0.001152178,0.6577287,0.0009133342,0.002129121,0.177221,0.1064846,0.00008428038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7207766,0.004624638,0.00568627,0.01627111,0.0002285059,0.00003773036,0.00002754614,0.00002641797,0.2523213],"genre_scores_gemma":[0.9978399,0.000421987,0.0003213932,0.0002770213,0.00005533671,0.000009900617,0.000002948212,0.000004502498,0.001066987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007525239,"threshold_uncertainty_score":0.02235597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903627900752009,"score_gpt":0.2474021955022364,"score_spread":0.2183659164947163,"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."}}