{"id":"W4408867176","doi":"10.52907/jipit.v4i1.502","title":"Cannibalization of Culture: Generative AI and the Appropriation of Indigenous African Musical Works","year":2024,"lang":"en","type":"article","venue":"Journal of intellectual property and information technology law","topic":"Diverse Musicological Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cannibalization; Appropriation; Musical; Indigenous; Generative grammar; Sociology; Anthropology; Communication; Linguistics; Art; Visual arts; Philosophy; Biology; Ecology; Business","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":[0.00823151,0.0004086293,0.0002873942,0.002151736,0.01560789,0.01323624,0.001780355,0.002699974,0.00580481],"category_scores_gemma":[0.0145613,0.0003606287,0.0003615839,0.001651975,0.04837748,0.01314716,0.01138892,0.003994672,0.0003692853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006045109,"about_ca_system_score_gemma":0.00403678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004850172,"about_ca_topic_score_gemma":0.007297778,"domain_scores_codex":[0.994132,0.003683652,0.0001771599,0.0004887392,0.0008247902,0.0006936472],"domain_scores_gemma":[0.9860069,0.01073401,0.001004831,0.001450323,0.0004621902,0.0003418452],"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":[0.00001852785,0.00002235324,0.002266387,0.0001157544,0.000007312866,0.0007438778,0.4123921,0.0002082194,0.0004723487,0.5525522,0.000577705,0.03062327],"study_design_scores_gemma":[0.000009933917,0.00005541898,0.004733182,0.001410425,0.00002923669,0.001236699,0.5594385,0.001197158,0.002630227,0.2978308,0.1313811,0.00004735023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5270769,0.005718302,0.02713055,0.03644321,0.0002184508,0.0001131518,0.00003262094,0.00005749216,0.4032093],"genre_scores_gemma":[0.990767,0.001122134,0.001966728,0.0004733505,0.00002446835,0.00003448965,0.000005775441,0.0000191403,0.00558687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560789,"threshold_uncertainty_score":0.0438605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429437234440799,"score_gpt":0.204596973890863,"score_spread":0.1803026015464551,"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."}}