{"id":"W1636746601","doi":"10.26530/oapen_578788","title":"Confronting Discrimination and Inequality in China : Chinese and Canadian Perspectives","year":2009,"lang":"en","type":"book","venue":"","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Ottawa; Dalhousie University; Western University","funders":"Peking University; Hong Kong University of Science and Technology; International Labour Organization; Fudan University; Nanjing University; Asia Pacific Foundation of Canada; U.S. Department of Justice; University of Ottawa; University of British Columbia; UNICEF","keywords":"China; Inequality; Battle; Perspective (graphical); Political science; Invisibility; Superpower; Racism; Development economics; Ethnic group; Courage; Sociology; Economic growth; Gender studies; Law; Geography; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001170605,0.0006462947,0.0004313407,0.00316687,0.01590393,0.005776186,0.00100832,0.00184357,0.007797418],"category_scores_gemma":[0.001128424,0.0001805669,0.0003207826,0.008991749,0.007964956,0.002299622,0.001835366,0.001859067,0.0001922367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05265553,"about_ca_system_score_gemma":0.06524707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9543654,"about_ca_topic_score_gemma":0.9805045,"domain_scores_codex":[0.9993098,0.00008869474,0.00001786879,0.00005015948,0.0002242476,0.000309336],"domain_scores_gemma":[0.9992648,0.0002021926,0.00004089881,0.00002354515,0.0002102168,0.0002583721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005720775,0.00004969916,0.01558831,0.0003909552,0.00003374852,0.001347438,0.1388379,0.0007195871,0.0002993213,0.5897056,0.1736946,0.07927561],"study_design_scores_gemma":[0.00002626106,0.00004163495,0.0698293,0.0008223919,0.00006345054,0.0004226534,0.1703157,0.001086694,0.0002864065,0.05038369,0.7066159,0.000105877],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1953014,0.1048737,0.000481012,0.1542314,0.001478016,0.00006187255,0.000562924,0.00003952317,0.5429702],"genre_scores_gemma":[0.7666137,0.07285748,0.0007391141,0.00846848,0.0004815559,0.00005645096,0.0003388069,0.00003810651,0.1504063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05265553,"threshold_uncertainty_score":0.3820444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008829210561003878,"score_gpt":0.2734039648845007,"score_spread":0.2645747543234969,"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."}}