{"id":"W3142363932","doi":"10.1111/imig.12851","title":"An intersectional pathway penalty: Filipina immigrant women inside and outside Canada’s Live‐In Caregiver Program","year":2021,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University; University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Earnings; Intersectionality; Demographic economics; Racism; Labour economics; Sociology; Gender studies; Economics; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001333546,0.0002517166,0.0003810152,0.001132949,0.004251792,0.002458794,0.001093043,0.0004481178,0.004194013],"category_scores_gemma":[0.005077924,0.000220901,0.000444334,0.003120139,0.001082993,0.0008441174,0.003685707,0.001373101,0.000306178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009757763,"about_ca_system_score_gemma":0.01756195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8980746,"about_ca_topic_score_gemma":0.9537331,"domain_scores_codex":[0.9987764,0.0001789392,0.00003804741,0.0001196168,0.0002406317,0.0006463653],"domain_scores_gemma":[0.9973394,0.0003200083,0.0008953312,0.0001638289,0.0005661196,0.0007151401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007434944,0.00005035866,0.9865948,0.00001030731,0.00002302527,0.0001324082,0.003738789,0.0002030409,0.00004526036,0.0005025757,0.001111089,0.007513988],"study_design_scores_gemma":[0.000005158337,0.00004341745,0.946114,0.00008935416,0.0000215072,0.0001135552,0.04946232,0.00115038,0.0001156734,0.0002311455,0.002631644,0.00002188071],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973028,0.00005276231,0.0000855447,0.0002915072,0.000006030051,0.00001482898,0.0007127678,0.000005513695,0.001528199],"genre_scores_gemma":[0.9979683,0.00007937328,0.000140946,0.00006486777,0.000002511108,0.00001841266,0.0008586273,0.000004189522,0.0008628194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019254,"threshold_uncertainty_score":0.2050512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008787527080024159,"score_gpt":0.2733860343255616,"score_spread":0.2645985072455375,"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."}}