{"id":"W4404196980","doi":"10.1177/00094455241288168","title":"English as a Medium of China’s National Storytelling","year":2024,"lang":"en","type":"article","venue":"China Report","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"China; Storytelling; Political science; Narrative; Art; Literature","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":[0.003567728,0.0003977224,0.0002149259,0.001332258,0.007518277,0.004747982,0.0006819148,0.0005293473,0.003892093],"category_scores_gemma":[0.003936979,0.0001698308,0.0002289743,0.001376156,0.005216507,0.003670008,0.004406279,0.0014026,0.0001375792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006466255,"about_ca_system_score_gemma":0.004584843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067127,"about_ca_topic_score_gemma":0.05870712,"domain_scores_codex":[0.9980361,0.001104089,0.00007767213,0.0001226318,0.0002668624,0.0003926896],"domain_scores_gemma":[0.9973407,0.001212593,0.0003441883,0.0002160251,0.0002321072,0.000654352],"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":[0.00004223775,0.00004522503,0.01699588,0.0001042538,0.00001407904,0.001546152,0.9171711,0.0001932768,0.001298882,0.04576799,0.002441576,0.01437938],"study_design_scores_gemma":[0.00001299679,0.0000733364,0.04029265,0.0002517389,0.00004142942,0.0007011232,0.8159326,0.001177015,0.00215677,0.004911022,0.1343938,0.00005553838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9192689,0.0004391487,0.001189987,0.003162192,0.00005606583,0.00007022861,0.00008867101,0.00003009207,0.07569466],"genre_scores_gemma":[0.9959931,0.0001765264,0.0003138555,0.00006131777,0.000008133186,0.00002527373,0.00003393268,0.000007778709,0.003379941],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03067127,"threshold_uncertainty_score":0.06098551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448824525755984,"score_gpt":0.4444943782214846,"score_spread":0.3996119256458862,"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."}}