{"id":"W2016863437","doi":"10.1080/14767724.2014.934074","title":"Constructing a theory of individual space: understanding transnational migration through the experience of return Chinese immigrants from Canada in Beijing","year":2014,"lang":"en","type":"article","venue":"Globalisation Societies and Education","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Immigration; Citizenship; Space (punctuation); Sociology; Gender studies; China; Economic geography; Political science; Geography; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006494295,0.00006613972,0.0001029842,0.0000228782,0.0002198062,0.00004264916,0.00009658187,0.00005905206,0.00003376503],"category_scores_gemma":[0.0002450117,0.00005512282,0.0000252379,0.0002822002,0.0002787401,0.0002340845,0.000008482035,0.00005958257,2.69946e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208175,"about_ca_system_score_gemma":0.0005655601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2313783,"about_ca_topic_score_gemma":0.8196203,"domain_scores_codex":[0.9989063,0.0002562623,0.000252271,0.0001099414,0.0003794988,0.00009570298],"domain_scores_gemma":[0.9992335,0.0003384585,0.0002198481,0.0000675571,0.0001172338,0.00002340086],"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":[0.000006980494,0.00001344142,0.1102964,0.000009464954,0.000008159484,7.244021e-9,0.3516742,0.00004204151,0.00004065138,0.5354899,0.0002403275,0.002178475],"study_design_scores_gemma":[0.0001629385,0.000005491354,0.0455735,0.00002909139,0.00001215274,2.290874e-7,0.8753865,0.0008475683,0.00003689502,0.07726458,0.0006049914,0.00007599745],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986206,0.0001168362,0.004239738,0.007386178,0.0002937436,0.0001323922,0.00005080996,0.000006107404,0.001568182],"genre_scores_gemma":[0.9990135,0.00006934548,0.0005028868,0.0002217363,0.00006357714,0.000007966307,0.00008052134,0.000002757437,0.00003772558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.588242,"threshold_uncertainty_score":0.7737401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264445530321326,"score_gpt":0.2860847405049728,"score_spread":0.2634402852017596,"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."}}