{"id":"W4415970408","doi":"10.1177/13548565251393826","title":"Reconfiguring the global–local nexus: A comparative analysis of Netflix and theatrical film diversity in South Korea","year":2025,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Diversity (politics); Diversification (marketing strategy); Narrative; Articulation (sociology); Cultural diversity; Rhetoric; Inclusion (mineral)","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":[0.0006190708,0.000173345,0.0001528629,0.001537943,0.001340326,0.002200683,0.0002429524,0.0001906709,0.002045189],"category_scores_gemma":[0.001385713,0.000136567,0.0001207044,0.001734192,0.00107145,0.002022907,0.001743143,0.0003425574,0.00008377686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107213,"about_ca_system_score_gemma":0.00049662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005375769,"about_ca_topic_score_gemma":0.02070207,"domain_scores_codex":[0.9997361,0.00008742575,0.00001790946,0.00004121143,0.00004472827,0.0000726741],"domain_scores_gemma":[0.9990941,0.0003502168,0.0002669678,0.00003973401,0.00009864922,0.0001502366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003681534,0.00009380384,0.4162922,0.0005775091,0.00009935137,0.002376711,0.5148741,0.0001432586,0.008133437,0.003758687,0.0008049292,0.0524779],"study_design_scores_gemma":[0.000003484305,0.00005986569,0.4477192,0.00009188948,0.0000233205,0.0004505733,0.5440401,0.0001027281,0.0004911573,0.0001479863,0.006857963,0.00001171365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973757,0.0001308798,0.00004430971,0.0000375344,0.000002393828,0.000005208316,0.00002425283,6.501116e-7,0.002378996],"genre_scores_gemma":[0.9993357,0.0001473,0.00004717466,0.0000138655,0.000002066371,0.000003194554,0.00003095481,0.000001618757,0.0004181635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005375769,"threshold_uncertainty_score":0.01068896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187093190917144,"score_gpt":0.4304916366342401,"score_spread":0.3117823175425257,"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."}}