{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207306,0.000428613,0.0007517114,0.0013395,0.03284561,0.007225871,0.001646699,0.001565549,0.004514839],"category_scores_gemma":[0.002730995,0.0004908394,0.000391408,0.003017542,0.005986785,0.001734953,0.005715408,0.00430202,0.0003486039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02752038,"about_ca_system_score_gemma":0.05677494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9716548,"about_ca_topic_score_gemma":0.9912145,"domain_scores_codex":[0.9975974,0.0003977704,0.00004803764,0.0001012442,0.0002720469,0.001583387],"domain_scores_gemma":[0.9966731,0.0002540791,0.0002706598,0.00003409616,0.0005921262,0.002175893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008340329,0.00008360085,0.05148997,0.00007052854,0.00001312506,0.001251156,0.935491,0.00002037615,0.0003139075,0.0009050851,0.004164976,0.006112908],"study_design_scores_gemma":[0.000001541968,0.000009682369,0.01021666,0.00003045698,0.000003561724,0.00007012534,0.9860913,0.000005846133,0.00001314224,0.00002108999,0.003527762,0.000008788524],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876148,0.0009696228,0.00003772713,0.004126536,0.0001358811,0.00004014519,0.0001569337,0.000005978961,0.006912474],"genre_scores_gemma":[0.9883128,0.001710921,0.00008431481,0.001725848,0.00002960177,0.00003029798,0.0001008489,0.00001479808,0.007990585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03284561,"threshold_uncertainty_score":0.1996753,"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."}}