{"id":"W4401547615","doi":"10.1177/13548565241270691","title":"Streaming <i>Diversité</i> : Exploring representations within French-language scripted series on Canadian SVOD services","year":2024,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Anime; Inclusion (mineral); Diversity (politics); Narrative; Storytelling; Affordance; Sociology; Linguistics; Social science; History; Computer science; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001146668,0.0005274927,0.0001954215,0.003284756,0.005286762,0.005967333,0.0008157728,0.0004461478,0.008923053],"category_scores_gemma":[0.005042884,0.0001795345,0.0001963024,0.004151802,0.003842133,0.0020596,0.00176614,0.0007616106,0.0006915577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02277639,"about_ca_system_score_gemma":0.01042428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7482195,"about_ca_topic_score_gemma":0.8810514,"domain_scores_codex":[0.9989526,0.0002754681,0.00002074313,0.0001051785,0.0004529899,0.0001929614],"domain_scores_gemma":[0.9980621,0.000778236,0.0002009167,0.0001025702,0.0006163673,0.0002397214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001053363,0.00003195657,0.01413166,0.0002360847,0.00001227547,0.001273448,0.892065,0.0002855686,0.002909762,0.01472894,0.01079704,0.06342287],"study_design_scores_gemma":[0.000004097703,0.00003847346,0.04908231,0.0002857873,0.00001870314,0.000491641,0.6840217,0.0007178887,0.001267077,0.0007716157,0.2632574,0.00004324335],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801835,0.0008949856,0.002264357,0.001184676,0.00006710004,0.0001209326,0.001813102,0.0001025054,0.1133689],"genre_scores_gemma":[0.9721867,0.0008801013,0.001832152,0.0001319293,0.00002453145,0.00004601139,0.001054566,0.0001259859,0.02371804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2517805,"threshold_uncertainty_score":0.5065266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229641195089248,"score_gpt":0.3951075728500524,"score_spread":0.2721434533411277,"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."}}