{"id":"W2319518889","doi":"10.5509/2011842267","title":"Daily Encounters Between Hans and Uyghurs in Xinjiang: Sinicization, Integration or Segregation?","year":2011,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sinicization; Political science; Geography; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007552134,0.0002280792,0.0003323051,0.0009972745,0.008584759,0.00288273,0.0005946519,0.0009307239,0.005096287],"category_scores_gemma":[0.00171874,0.0002947423,0.0001433666,0.001514212,0.002887333,0.002559731,0.003014823,0.001029338,0.0002422255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002511796,"about_ca_system_score_gemma":0.00266621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09893029,"about_ca_topic_score_gemma":0.1966998,"domain_scores_codex":[0.9992744,0.0002807451,0.00003498348,0.0000540794,0.00004358455,0.0003121436],"domain_scores_gemma":[0.9989133,0.0001979605,0.000297111,0.00003216366,0.00006240882,0.0004970953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009919995,0.00005392781,0.3423843,0.00004306139,0.00001801724,0.0009627098,0.6449331,0.00002050168,0.0003020347,0.001865732,0.001284543,0.008032834],"study_design_scores_gemma":[0.000001833607,0.00002246288,0.08097079,0.0000209802,0.000004483926,0.00008420597,0.9166837,0.00002337522,0.0000327392,0.00009913621,0.002049924,0.000006368332],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974202,0.0001570168,0.00001223781,0.0005608011,0.00001571024,0.000004016475,0.00002254645,0.000001230695,0.001806286],"genre_scores_gemma":[0.9989468,0.0001542748,0.00001545325,0.0001101455,0.000007926059,0.000003831593,0.00001969426,9.158312e-7,0.0007409915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09893029,"threshold_uncertainty_score":0.1967089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04977746474378136,"score_gpt":0.29205918368521,"score_spread":0.2422817189414286,"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."}}