{"id":"W4306160157","doi":"10.1177/01979183221112418","title":"Policy Change, Threat Perception, and Mobility Catalysts: The Trump Administration as Driver of Asylum Migration to Canada","year":2022,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Immigration; Political science; Enforcement; Immigration policy; Rhetoric; Immigration reform; Demographic economics; Criminology; Sociology; Law; Economics","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":[0.001801218,0.000236492,0.0002197304,0.00159603,0.0179101,0.007733859,0.001328673,0.001403792,0.003060353],"category_scores_gemma":[0.006283914,0.0002249665,0.0002321964,0.002360186,0.008031907,0.001802093,0.004268842,0.003958003,0.000152541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08719238,"about_ca_system_score_gemma":0.1199454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9758058,"about_ca_topic_score_gemma":0.9835883,"domain_scores_codex":[0.997225,0.0004103908,0.00004822908,0.0001410323,0.0005975255,0.001577789],"domain_scores_gemma":[0.9966155,0.0006609592,0.0004814294,0.00007139728,0.0008446488,0.001326238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001832906,0.0001946703,0.2949945,0.0002289212,0.00004446134,0.00263015,0.5372179,0.001282984,0.001204563,0.08301797,0.02329414,0.05570656],"study_design_scores_gemma":[0.000008464139,0.00003151101,0.1193306,0.0002281847,0.0000207931,0.0001695667,0.8152458,0.0006780481,0.0003146267,0.001861418,0.06204769,0.00006334666],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417214,0.0008310054,0.0001832655,0.01980902,0.00008630988,0.00004146832,0.0001239852,0.00001124798,0.03719223],"genre_scores_gemma":[0.9961305,0.0006151753,0.000074916,0.0007510478,0.00001011014,0.000006824344,0.00003974655,0.000006545294,0.002365147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08719238,"threshold_uncertainty_score":0.632628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198289658181395,"score_gpt":0.3347309554100075,"score_spread":0.3127480588281935,"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."}}