{"id":"W4210505661","doi":"10.1111/imig.12976","title":"Who are Canada’s temporary foreign workers? Policy evolution and a pandemic reality","year":2022,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Temporary work; Context (archaeology); Citizenship; Work (physics); Inequality; Pandemic; Economic shortage; Political science; Social policy; Coronavirus disease 2019 (COVID-19); Migrant workers; Demographic economics; Economic growth; Labour economics; Economics; Geography; Law; Medicine","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":[0.001986402,0.0002321791,0.0003420429,0.001454205,0.0102388,0.005259026,0.001486547,0.001896565,0.005349788],"category_scores_gemma":[0.004793627,0.0001850009,0.0002757322,0.003020833,0.004811022,0.001691296,0.002312463,0.003253591,0.000176839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1141161,"about_ca_system_score_gemma":0.2130876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924069,"about_ca_topic_score_gemma":0.9942856,"domain_scores_codex":[0.9976342,0.0002123756,0.00003573378,0.0001331153,0.0003191476,0.001665407],"domain_scores_gemma":[0.9946293,0.0005395231,0.0003693857,0.00009796254,0.00155026,0.002813553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004981773,0.0002953982,0.2648385,0.0009319829,0.0001487972,0.002337062,0.06555831,0.00306404,0.001615477,0.2370734,0.2454182,0.1782207],"study_design_scores_gemma":[0.00007844349,0.0001125012,0.361216,0.001970774,0.00009890024,0.0004662146,0.2546875,0.002219642,0.0004759497,0.01513794,0.3633033,0.0002329086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5426713,0.01088726,0.0004325357,0.3840446,0.0006558501,0.00007299361,0.002401129,0.00005105504,0.0587834],"genre_scores_gemma":[0.9794057,0.004753469,0.0002728035,0.01070485,0.000104898,0.00001950685,0.0003392575,0.00001243838,0.004387129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141161,"threshold_uncertainty_score":0.8279738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207994465204091,"score_gpt":0.2968336309701948,"score_spread":0.2760341844497857,"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."}}