{"id":"W2786533951","doi":"10.1177/0019793918758301","title":"From “Migrant” to “Citizen”: Labor Market Integration of Former Live-In Caregivers in Canada","year":2018,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Obligation; Immigration; Demographic economics; Focus group; Work (physics); Labour economics; Business; Empirical research; Political science; Psychology; Economics; Law; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004682096,0.00008954127,0.000249092,0.00009467396,0.00009633799,0.00001758962,0.000109248,0.0001016561,0.002778865],"category_scores_gemma":[0.0008570216,0.00008101878,0.00002441688,0.00113143,0.00007520201,0.0001433172,0.00001529985,0.0001652534,0.00001503927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283898,"about_ca_system_score_gemma":0.001229966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9196934,"about_ca_topic_score_gemma":0.9971261,"domain_scores_codex":[0.9987836,0.0002715725,0.0004033276,0.0001668724,0.0002164885,0.0001581317],"domain_scores_gemma":[0.9993092,0.0001814837,0.0001160242,0.000111758,0.0001835564,0.00009793234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002361348,0.0001404151,0.2834184,0.0001735164,0.00007459083,0.0000177407,0.1122663,0.00005480183,0.00009197191,0.03800923,0.2873435,0.2781734],"study_design_scores_gemma":[0.0008171429,0.00004888838,0.0376606,0.002735289,0.00004526224,2.474017e-7,0.01253888,0.0003029675,0.000009292205,0.0003642747,0.9452456,0.0002315756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715534,0.004859,0.00001935695,0.01313388,0.0004122247,0.0009702687,0.0004307344,0.00001220326,0.008608948],"genre_scores_gemma":[0.9854587,0.009025438,0.0002511167,0.001075475,0.0003035376,0.00004342169,0.00006017801,0.000009465917,0.003772644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6579021,"threshold_uncertainty_score":0.9981327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287183340979583,"score_gpt":0.2906799932855131,"score_spread":0.2619616591875548,"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."}}