{"id":"W7113896638","doi":"10.1108/978-1-61735-946-020251004","title":"Linguistic and Social Equity for Yughur and Kyrgyz National Minorities in Northwest China","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Minority language; Argument (complex analysis); Equity (law); Language policy; Educational attainment; Bilingual education; Educational equity","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":[0.0003867163,0.0002202669,0.0001342667,0.0003445793,0.005548217,0.001517837,0.0003627508,0.0003431127,0.001838354],"category_scores_gemma":[0.0002089096,0.00006369343,0.0001059098,0.0006292405,0.002747093,0.0008296707,0.001543507,0.0005914095,0.00008938795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007362933,"about_ca_system_score_gemma":0.00632932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.143143,"about_ca_topic_score_gemma":0.36211,"domain_scores_codex":[0.9998535,0.00003599125,0.000004697169,0.00001855804,0.00002732441,0.00005995605],"domain_scores_gemma":[0.9999578,0.00000789868,0.000005331416,0.000003083313,0.000006172424,0.00001967785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005666765,0.00005635377,0.03417431,0.0001735183,0.00001243444,0.0009164685,0.2021499,0.0004000991,0.001826187,0.6166005,0.009494993,0.1341386],"study_design_scores_gemma":[0.00001851645,0.0001050562,0.2795101,0.0004631926,0.00003026335,0.0004545773,0.1683826,0.001378415,0.001338151,0.0664013,0.4818682,0.00004961596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7736021,0.01059126,0.0003290934,0.009371504,0.0001521681,0.00004004379,0.0000471931,0.00001154758,0.2058552],"genre_scores_gemma":[0.9550923,0.002822425,0.0002562986,0.0004298318,0.00002739126,0.00001840255,0.0000303756,0.00000444461,0.04131857],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.143143,"threshold_uncertainty_score":0.2846196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06276744390216941,"score_gpt":0.3476643743593315,"score_spread":0.284896930457162,"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."}}