{"id":"W2078685977","doi":"10.1002/psp.343","title":"Transnational migration theory in population geography: gendered practices in networks linking Canada and India","year":2004,"lang":"en","type":"article","venue":"Population Space and Place","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Ford Foundation","keywords":"Economic geography; Focus (optics); Population; Immigration; Sociology; Human geography; Selection (genetic algorithm); Gender studies; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002449914,0.0003222656,0.0002766462,0.002496349,0.0122663,0.008774134,0.001377246,0.0009956036,0.005136667],"category_scores_gemma":[0.006666945,0.0001633927,0.0001438448,0.003774345,0.03465999,0.004513806,0.006968852,0.001401581,0.000123658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0388573,"about_ca_system_score_gemma":0.02947327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8083629,"about_ca_topic_score_gemma":0.7976689,"domain_scores_codex":[0.9979482,0.00107703,0.00004020823,0.000212619,0.0002351365,0.000486687],"domain_scores_gemma":[0.9959511,0.001911143,0.0004140332,0.0002429588,0.0008384496,0.0006423714],"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":[0.00001455783,0.000008335316,0.008870525,0.00006643482,0.000006179012,0.0003290633,0.2831194,0.0006556594,0.0001365584,0.6942102,0.001915225,0.01066792],"study_design_scores_gemma":[0.000006534986,0.00001537437,0.01558493,0.0002834551,0.00001791197,0.0002612162,0.7573438,0.001873342,0.0003144993,0.141283,0.08298263,0.00003334749],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6701058,0.002858836,0.01093292,0.03603557,0.0001701304,0.00007189211,0.0001589521,0.00005445785,0.2796114],"genre_scores_gemma":[0.9965365,0.0004420111,0.0004194956,0.0001588383,0.000007421285,0.00001023731,0.00001224073,0.000005385344,0.002407986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1916371,"threshold_uncertainty_score":0.3855314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305438435393749,"score_gpt":0.2739317100193115,"score_spread":0.260877325665374,"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."}}