{"id":"W4410602761","doi":"10.1108/edi-02-2025-0092","title":"Human capital valuation of vulnerable visible minority immigrants in Atlantic Canada during a COVID-19 year: evidence from a sample of the CERB recipients","year":2025,"lang":"en","type":"article","venue":"Equality Diversity and Inclusion An International Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Immigration; Valuation (finance); Sample (material); Demographic economics; Human capital; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Demography; Political science; Economics; Sociology; Economic growth; Biology; Medicine; Finance; Internal medicine; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001004809,0.0003671742,0.0003625432,0.001437039,0.003736705,0.00173136,0.001485329,0.0004953131,0.002538545],"category_scores_gemma":[0.003434438,0.0002308586,0.0004144469,0.002954742,0.001149713,0.000456285,0.00142184,0.000918254,0.0004070712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01325217,"about_ca_system_score_gemma":0.01889729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792479,"about_ca_topic_score_gemma":0.9873727,"domain_scores_codex":[0.99898,0.00006516518,0.00003590703,0.00008017036,0.0003161602,0.0005224829],"domain_scores_gemma":[0.9971254,0.0001482779,0.0007792799,0.00009037378,0.001027644,0.0008289531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000898291,0.00008413399,0.9885181,0.00003074113,0.00002494095,0.00009796361,0.004745096,0.00004293081,0.0001003666,0.00008634497,0.000885301,0.005294174],"study_design_scores_gemma":[0.000002396347,0.00002937103,0.9899954,0.00003270541,0.000008785852,0.00002104531,0.009061919,0.0000557148,0.00002666112,0.00001382193,0.0007446291,0.000007512279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973712,0.0001868619,0.00002216812,0.0001797087,0.000006384802,0.00003363328,0.001030719,0.000001324076,0.001167968],"genre_scores_gemma":[0.996999,0.0003461612,0.00005085969,0.0001334511,0.000007951569,0.00002627818,0.00103622,0.000002358916,0.001397652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02075207,"threshold_uncertainty_score":0.09615165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05512575542514382,"score_gpt":0.3516950464782599,"score_spread":0.2965692910531161,"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."}}