{"id":"W1982266114","doi":"10.5539/ass.v10n3p232","title":"Labor Migration and Gender Empowerment: A Case Study of Housemaids","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Empowerment; Caste; Agrarian society; Nonprobability sampling; Debt; Social security; Intervention (counseling); Sociology; Economic growth; Demographic economics; Socioeconomics; Business; Political science; Economics; Geography; Psychology; Agriculture; Population; Demography; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002381406,0.0007443278,0.000730924,0.001220886,0.02244292,0.0031392,0.001455708,0.002598228,0.004676295],"category_scores_gemma":[0.003043761,0.0006090843,0.0003799456,0.001256914,0.005736645,0.001969495,0.004684777,0.002732536,0.0003651783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328788,"about_ca_system_score_gemma":0.003301241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201091,"about_ca_topic_score_gemma":0.06700668,"domain_scores_codex":[0.9980416,0.001069573,0.00003968466,0.0001083131,0.0001127311,0.0006278701],"domain_scores_gemma":[0.9987298,0.0005798425,0.0002215651,0.00005503093,0.00007077502,0.0003431024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000667331,0.0005016994,0.01931559,0.0001007233,0.000006952302,0.02023635,0.9447457,0.00003207099,0.0004394585,0.003056339,0.0009865471,0.01051188],"study_design_scores_gemma":[0.000005700722,0.0001358946,0.006610867,0.00007879022,0.000006188288,0.002996532,0.9829713,0.00004722634,0.0001407813,0.0002414754,0.006757137,0.000008136943],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930463,0.0004040155,0.0002281414,0.001210534,0.00005086472,0.00006426151,0.0000168838,0.000003928468,0.004974884],"genre_scores_gemma":[0.9930606,0.0009605334,0.0004984531,0.0005388006,0.00003012686,0.0000800987,0.00001213773,0.000006627847,0.004812761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02244292,"threshold_uncertainty_score":0.0437656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192602762338544,"score_gpt":0.3271596839985159,"score_spread":0.3078994077646615,"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."}}