{"id":"W4395103726","doi":"10.25071/khr90326","title":"Being good wives and ideal migrants: Experiences of Indian marriage migrant women in Canada","year":2022,"lang":"en","type":"article","venue":"Canada Watch","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideal (ethics); Gender studies; Migrant workers; Sociology; Demographic economics; Political science; Economics; Economic growth; Law","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":[0.0003534752,0.00007280459,0.0001519627,0.00003540438,0.0003341273,0.0000166237,0.0002037429,0.00001801447,0.000455527],"category_scores_gemma":[0.00007754096,0.00007731999,0.00001045565,0.0003656516,0.00007848442,0.00006210213,0.00003347189,0.000110391,4.411612e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340259,"about_ca_system_score_gemma":0.006042033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998917,"about_ca_topic_score_gemma":0.9999973,"domain_scores_codex":[0.998629,0.0001616451,0.0001953548,0.0001526479,0.0004981156,0.000363194],"domain_scores_gemma":[0.9995451,0.00009682553,0.00006962369,0.00008238584,0.00002384105,0.0001822279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006778513,0.00001072219,0.1205706,0.00001598989,0.000009753122,0.00007786202,0.8675633,0.0001035273,0.00004733451,0.0009197055,0.009737529,0.00093694],"study_design_scores_gemma":[0.0001617506,0.00001448337,0.01187194,0.000006836067,0.000001420031,9.30997e-7,0.876653,0.0001333549,0.00003098395,0.0001670494,0.1108695,0.00008881743],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955237,0.0001115892,3.579828e-7,0.002412595,0.0002603173,0.0001159228,0.00004914327,0.000004158142,0.001522216],"genre_scores_gemma":[0.99874,0.0000261559,0.000009367249,0.00039651,0.00001849917,0.00005673334,0.000006131382,0.00000479089,0.0007418543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086986,"threshold_uncertainty_score":0.9995928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004457660836068561,"score_gpt":0.2076401890958906,"score_spread":0.2031825282598221,"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."}}