{"id":"W2127693030","doi":"10.5539/ass.v9n1p171","title":"China’s Migrant Workers: How Far from Being Citizens?","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Unemployment; Social security; Migrant workers; Poverty; Economic growth; Citizenship; Face (sociological concept); Business; Politics; Population; Inclusion (mineral); Development economics; Political science; Economics; Sociology; Market economy","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":[],"consensus_categories":[],"category_scores_codex":[0.002147879,0.0002962863,0.0004045401,0.000911987,0.004029847,0.003405764,0.0007371648,0.002322257,0.004276367],"category_scores_gemma":[0.003614881,0.0001947998,0.0002351663,0.001281327,0.002886448,0.005367121,0.001865968,0.002521463,0.0005501243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037578,"about_ca_system_score_gemma":0.006895742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06173007,"about_ca_topic_score_gemma":0.09516283,"domain_scores_codex":[0.9991136,0.0002707886,0.00004554599,0.0001077704,0.0001385227,0.0003238396],"domain_scores_gemma":[0.9980282,0.0002184845,0.0002444939,0.00008300554,0.000372637,0.001053176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001780805,0.0002948738,0.3630618,0.001028534,0.00009981994,0.002385827,0.1577556,0.0001117568,0.0007344933,0.02040417,0.1586141,0.2953309],"study_design_scores_gemma":[0.00004279777,0.0003529278,0.3787017,0.002260197,0.0001277973,0.001099841,0.4254766,0.0002821312,0.0003232004,0.01216247,0.1790398,0.0001306023],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.484695,0.03249016,0.0001908554,0.4653051,0.002309483,0.00003709582,0.0003554882,0.00002673994,0.01458998],"genre_scores_gemma":[0.9136314,0.03353963,0.0002356606,0.04309466,0.001754349,0.0000530051,0.0003309406,0.0000168689,0.007343429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06173007,"threshold_uncertainty_score":0.1227416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240128782091581,"score_gpt":0.2875990588949337,"score_spread":0.2651977710740179,"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."}}