{"id":"W2795305656","doi":"10.1080/1060586x.2018.1451232","title":"Shedding Russianness, recasting Ukrainianness: the post-Euromaidan dynamics of ethnonational identifications in Ukraine","year":2018,"lang":"en","type":"article","venue":"Post-Soviet Affairs","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute of Ukranian Studies, University of Alberta","keywords":"Ukrainian; Ethnic group; Nationality; Political science; Perception; Meaning (existential); Gender studies; Sociology; Linguistics; Psychology; Law; Immigration","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001134147,0.0001128215,0.0002309566,0.0006456698,0.002858635,0.002121625,0.000320181,0.0002986373,0.0009549806],"category_scores_gemma":[0.001443667,0.0001241767,0.0001122237,0.0007894635,0.003324802,0.001491694,0.002949016,0.0007431199,0.00009081209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473275,"about_ca_system_score_gemma":0.001157492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225964,"about_ca_topic_score_gemma":0.03196819,"domain_scores_codex":[0.9993196,0.000278146,0.00003113381,0.00009421729,0.00008829599,0.0001886749],"domain_scores_gemma":[0.9993322,0.0001536665,0.0003038491,0.00004700174,0.0000670545,0.0000961226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001285739,0.00004407395,0.2022434,0.00005271018,0.0000235952,0.0008174716,0.7723176,0.0001104245,0.002088424,0.006782178,0.0003131081,0.01507849],"study_design_scores_gemma":[0.000002163013,0.00004644953,0.4455995,0.00004141646,0.000006349119,0.0002457555,0.5479026,0.00007949947,0.0004545116,0.0004290634,0.005179315,0.00001344284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989954,0.00004093679,0.00002441875,0.00006628229,0.000001810667,8.290748e-7,0.000004111887,5.863958e-7,0.000865625],"genre_scores_gemma":[0.9997426,0.0000295939,0.00001115329,0.00001190602,8.337688e-7,8.014491e-7,0.000005951984,6.203996e-7,0.0001965485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02225964,"threshold_uncertainty_score":0.0442602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266713411976022,"score_gpt":0.2469245618175164,"score_spread":0.2242574276977562,"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."}}