{"id":"W4210715307","doi":"10.26522/ssj.v16i1.2691","title":"A COVID-19 State of Exception and the Bordering of Canada’s Immigration System: Assessing the Uneven Impacts on Refugees, Asylum Seekers and Migrant Workers","year":2022,"lang":"en","type":"article","venue":"Studies in Social Justice","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Biomedical Research Council; York University; Government of Canada","keywords":"Refugee; Immigration; Human rights; Political science; Resilience (materials science); Psychological resilience; Coronavirus disease 2019 (COVID-19); Demographic economics; Development economics; Sociology; Economic growth; Economics; Law; Medicine; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002346749,0.0003620091,0.0003993235,0.002543077,0.01178323,0.007246435,0.001606264,0.0009645049,0.002677248],"category_scores_gemma":[0.006609122,0.0002737493,0.0006025186,0.005113889,0.006481449,0.001829015,0.007022414,0.002043935,0.0001406573],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07727728,"about_ca_system_score_gemma":0.1036486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897745,"about_ca_topic_score_gemma":0.9945959,"domain_scores_codex":[0.9977766,0.0002410837,0.00007366591,0.0001265357,0.0006233754,0.001158788],"domain_scores_gemma":[0.9946868,0.0006620805,0.0007842552,0.0001886457,0.002083694,0.001594469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001106489,0.000121528,0.8960589,0.0001407982,0.00006939568,0.0005676343,0.06980258,0.001073639,0.0002540043,0.0106264,0.004240684,0.01693372],"study_design_scores_gemma":[0.000003932963,0.0000466546,0.7302244,0.0002313837,0.00002579007,0.0000522284,0.2609089,0.0007404123,0.00009751587,0.0006059684,0.007031271,0.00003150567],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889678,0.0003342643,0.0001074377,0.001622195,0.00001792938,0.00005728042,0.0006530287,0.000004015431,0.008236051],"genre_scores_gemma":[0.9973998,0.0003644841,0.0001877827,0.0002187986,0.000005069674,0.00002940628,0.000398559,0.000005004555,0.001391124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9227227,"threshold_uncertainty_score":0.5606885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03297589610575407,"score_gpt":0.3877849979237916,"score_spread":0.3548091018180375,"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."}}