{"id":"W2734026213","doi":"10.3968/9615","title":"Counter the Fascism of English: A Study of the Dissemination of the Chinese Language From the Perspective of Language and Power","year":2017,"lang":"en","type":"article","venue":"Canadian social science","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civilization; Solidarity; Sociology; Multiculturalism; China; Obligation; Power (physics); Dominance (genetics); Lingua franca; Political science; Linguistics; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005130503,0.0002637941,0.0002455811,0.002161251,0.006378486,0.005879224,0.001059054,0.001418016,0.002237209],"category_scores_gemma":[0.01028238,0.0001686685,0.0001856914,0.00312482,0.0154941,0.008393191,0.002355779,0.001763867,0.0001272501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009429322,"about_ca_system_score_gemma":0.007766267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05232864,"about_ca_topic_score_gemma":0.03553894,"domain_scores_codex":[0.9976448,0.001613846,0.00005526319,0.0001224887,0.0002680692,0.000295459],"domain_scores_gemma":[0.9925455,0.005445938,0.0007470268,0.00029661,0.0005922462,0.0003726302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002742181,0.00003391429,0.00604551,0.00004829634,0.000005950176,0.0003641938,0.8730723,0.00006007139,0.0003032952,0.1107886,0.0007145375,0.008535811],"study_design_scores_gemma":[0.00003576644,0.00009925937,0.03244423,0.0002547985,0.00002288659,0.0002440948,0.8799624,0.0008042118,0.0004215268,0.03130255,0.05437884,0.0000293715],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126067,0.001015051,0.0006227304,0.009345786,0.00004024918,0.00004183269,0.00001907528,0.000003602427,0.07630499],"genre_scores_gemma":[0.9968078,0.0003707869,0.0001081822,0.000274823,0.00002183125,0.00001716753,0.000004585472,0.000003427472,0.002391468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9936215,"threshold_uncertainty_score":0.1040481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006686198421753461,"score_gpt":0.3093138981787691,"score_spread":0.3026276997570156,"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."}}