{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001145656,0.0002484595,0.0005238716,0.001534574,0.003378431,0.001974548,0.0007848066,0.0004760548,0.001825265],"category_scores_gemma":[0.002681131,0.0001255749,0.0003017629,0.003872702,0.000993598,0.000516706,0.0009845406,0.0005021103,0.0000996802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02191853,"about_ca_system_score_gemma":0.04811418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662787,"about_ca_topic_score_gemma":0.9841652,"domain_scores_codex":[0.9993392,0.00009788125,0.00003415204,0.00006433808,0.0001803665,0.0002840926],"domain_scores_gemma":[0.9990792,0.0001190367,0.0001957425,0.00001399993,0.0003176835,0.0002742866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004060091,0.0002303865,0.6312381,0.003634069,0.0001666998,0.00275513,0.0645601,0.0002351764,0.0004365343,0.004287709,0.009481248,0.2825688],"study_design_scores_gemma":[0.00002362541,0.00006989317,0.8424314,0.004006318,0.0001422357,0.0008179047,0.1147845,0.0001526431,0.0002006848,0.0003559349,0.03697988,0.0000350804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8357809,0.1509526,0.00008201422,0.003087425,0.0001606876,0.00003453143,0.0004016423,0.000004124121,0.009496072],"genre_scores_gemma":[0.9055819,0.09190486,0.00009998126,0.0004011922,0.00003362205,0.00001351307,0.0002760698,0.000002778402,0.001686085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03372133,"threshold_uncertainty_score":0.1590309,"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."}}