{"id":"W2080159936","doi":"10.1177/0042098014553752","title":"Growth of rural migrant enclaves in Guangzhou, China: Agency, everyday practice and social mobility","year":2014,"lang":"en","type":"article","venue":"Urban Studies","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"National Natural Science Foundation of China","keywords":"Agency (philosophy); China; Plea; Limiting; Economic growth; Economic geography; Scale (ratio); Immigration; Ethnography; Rural area; Business; Sociology; Geography; Political science; Economics","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":[0.0006253083,0.0002246587,0.0001954522,0.0009867215,0.003312087,0.001490523,0.00035487,0.0002820825,0.002218052],"category_scores_gemma":[0.0006783944,0.0001521192,0.0001339945,0.0009604668,0.002680824,0.001295693,0.002067209,0.0003611861,0.00008690287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713174,"about_ca_system_score_gemma":0.000955502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03191817,"about_ca_topic_score_gemma":0.073085,"domain_scores_codex":[0.9996744,0.0001437543,0.00001581521,0.00005224371,0.00002815341,0.00008563536],"domain_scores_gemma":[0.9995739,0.0001013891,0.0001379409,0.00003375153,0.00002566013,0.0001274029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000447007,0.00005855725,0.184492,0.00007386436,0.00001725293,0.001069852,0.7960652,0.00009179952,0.001699894,0.003184111,0.0005186317,0.01268417],"study_design_scores_gemma":[0.000004873672,0.00006494369,0.339414,0.00004399589,0.000009417319,0.0002607818,0.6509196,0.0002310605,0.0002136136,0.0004017098,0.0084204,0.000015667],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988462,0.00008560016,0.0000319966,0.0001331754,0.000001828313,0.000002646705,0.000006551775,0.000001461299,0.0008905487],"genre_scores_gemma":[0.9994301,0.00008168607,0.00003085272,0.00001028516,0.000001546768,0.00000375914,0.000007645511,6.832407e-7,0.000433483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03191817,"threshold_uncertainty_score":0.06346476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670428286207596,"score_gpt":0.3147832605168026,"score_spread":0.2880789776547267,"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."}}