{"id":"W2313676937","doi":"10.1177/0117196816639056","title":"The making of transnational social space: Chinese women managing careers and lives between China and Canada","year":2016,"lang":"en","type":"article","venue":"Asian and Pacific migration journal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia","funders":"Asia Pacific Foundation of Canada","keywords":"China; Gender studies; Context (archaeology); Race (biology); Sociology; Power (physics); Field (mathematics); Qualitative research; Space (punctuation); Class (philosophy); Political science; Economic growth; Geography; Social science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006749489,0.00007079166,0.0001047253,0.00004461979,0.001214602,0.0001279797,0.0000577192,0.00003341876,0.00003968856],"category_scores_gemma":[0.00003957716,0.00004432808,0.00001913931,0.00005903644,0.0002161228,0.0002394696,0.00000702247,0.00007653097,7.841789e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006153336,"about_ca_system_score_gemma":0.0001953875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008110438,"about_ca_topic_score_gemma":0.6157603,"domain_scores_codex":[0.9992489,0.0001260073,0.0001819435,0.00009508181,0.0001841701,0.0001639606],"domain_scores_gemma":[0.9996255,0.00008956819,0.0001284682,0.0000316038,0.00004774461,0.00007711638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002280499,0.000005620567,0.5222816,0.0000170627,0.00006595338,0.000002158582,0.414676,6.506948e-7,0.00007740199,0.01590168,0.002799877,0.04414912],"study_design_scores_gemma":[0.0003651524,0.00003055453,0.811115,0.00001817604,0.00001337293,0.00001393894,0.1533073,0.00001921203,0.000005395841,0.008708529,0.02627196,0.0001314304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9249241,0.0001742632,0.000316921,0.07112531,0.00009177146,0.00006854254,0.00001503023,0.000004381537,0.003279709],"genre_scores_gemma":[0.9985663,0.0004879395,0.00003553273,0.00002377075,0.0002486222,0.000002066571,0.000001150448,0.000003639038,0.0006309317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6076498,"threshold_uncertainty_score":0.9984946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009103885933595703,"score_gpt":0.2450376645190187,"score_spread":0.235933778585423,"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."}}