{"id":"W2232099277","doi":"","title":"Chinese Television as a Medium of National Interpellation","year":2010,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Media studies; Advertising; Political science; Telecommunications; Sociology; Engineering; Business","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":[0.001004217,0.0003050443,0.0001494232,0.001153762,0.004280899,0.004704662,0.0006352043,0.0005016527,0.006995526],"category_scores_gemma":[0.001613655,0.000147347,0.0001761544,0.001893524,0.00551571,0.002705718,0.004061057,0.001238718,0.0003066378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004306452,"about_ca_system_score_gemma":0.002811015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924643,"about_ca_topic_score_gemma":0.03013041,"domain_scores_codex":[0.9992689,0.0002860253,0.00001344618,0.00007149881,0.0001913668,0.0001688026],"domain_scores_gemma":[0.9990908,0.0003824292,0.0001124416,0.000160903,0.0001028662,0.000150575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001881134,0.00004657856,0.01344033,0.0003034964,0.00003393193,0.002114032,0.5369224,0.0004022353,0.008255972,0.3818973,0.008043855,0.04835188],"study_design_scores_gemma":[0.00004551644,0.0002583374,0.0605086,0.0005096032,0.0001227451,0.001279155,0.3680064,0.001991467,0.009279149,0.0215054,0.5363788,0.0001148247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6468453,0.0009745573,0.001932154,0.003045049,0.0001629146,0.00004659171,0.0001533253,0.00008947028,0.3467506],"genre_scores_gemma":[0.9915472,0.0002892869,0.0002777801,0.00008952509,0.00003952336,0.00001388949,0.00003299363,0.00001547263,0.007694439],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01924643,"threshold_uncertainty_score":0.0382688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009457815390400342,"score_gpt":0.3096551953408719,"score_spread":0.3001973799504715,"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."}}