{"id":"W4307715250","doi":"10.1111/imig.13074","title":"Regulation through responsibilisation: Gendered exit policies and precarious migration from India and Sri Lanka","year":2022,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vulnerability (computing); Precarity; Corporate governance; Development economics; Promotion (chess); Political science; Inequality; Economic growth; Sociology; Business; Economics; Gender studies; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002512853,0.0001712461,0.0001581089,0.0007814066,0.00274849,0.004545663,0.0007007229,0.0007621341,0.002706272],"category_scores_gemma":[0.002602086,0.000117645,0.0002625257,0.0007479834,0.01020497,0.001385118,0.004789457,0.00130281,0.0001345412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005464411,"about_ca_system_score_gemma":0.004856101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0240444,"about_ca_topic_score_gemma":0.03505763,"domain_scores_codex":[0.997938,0.001019797,0.00007413003,0.0001208758,0.0001435476,0.0007036073],"domain_scores_gemma":[0.9975956,0.001157673,0.0006200778,0.0001699839,0.000231767,0.0002248721],"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":[0.0001545288,0.00008298328,0.06116593,0.0003166474,0.0000382837,0.001217295,0.2871185,0.00148692,0.001850932,0.618588,0.001909783,0.02607015],"study_design_scores_gemma":[0.0000230959,0.0002036134,0.1632063,0.001294311,0.0001087342,0.0008185855,0.6303713,0.001479152,0.003128332,0.07841802,0.1208496,0.00009905182],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8747891,0.001350768,0.001328787,0.008340431,0.00003133592,0.00002641408,0.00004917371,0.00001741182,0.1140666],"genre_scores_gemma":[0.9981118,0.000200329,0.00008860439,0.0001635114,0.000003862518,0.000008337161,0.000006242257,0.000002284798,0.001415044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0240444,"threshold_uncertainty_score":0.04780889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557710495347939,"score_gpt":0.3054989034966593,"score_spread":0.2799217985431799,"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."}}