{"id":"W2912479735","doi":"10.1177/0032329218820870","title":"Discrimination and Policies of Immigrant Selection in Liberal States","year":2019,"lang":"en","type":"article","venue":"Politics & Society","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Lunds Universitet; American Political Science Association","keywords":"Immigration; Immigration policy; Liberalism; Citizenship; Obligation; Welfare state; Political science; Context (archaeology); Political economy; Sociology; Law and economics; Law; Positive economics; Economics; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002801162,0.00005833141,0.00009680339,0.00003332818,0.0001147279,0.00003509071,0.00004419664,0.00007031454,0.00003239018],"category_scores_gemma":[0.00004294268,0.00005385052,0.00004952004,0.0001511185,0.0001192232,0.0002344332,0.000008815063,0.00006832412,0.000003081326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189835,"about_ca_system_score_gemma":0.00008624243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206099,"about_ca_topic_score_gemma":0.01383889,"domain_scores_codex":[0.9993109,0.00006548517,0.0001657855,0.00009974909,0.0001752371,0.000182829],"domain_scores_gemma":[0.9996964,0.00005933313,0.00006431618,0.0000396182,0.000103861,0.00003652109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000003611529,0.0000652074,0.1462491,0.00005965517,0.00001253508,2.652476e-8,0.4902678,0.00002825361,0.003046922,0.357778,0.001994743,0.0004941835],"study_design_scores_gemma":[0.0007678444,0.0002067805,0.6833709,0.00009790405,0.00003733049,9.538585e-7,0.1847208,0.009391883,0.005691999,0.09703527,0.01830531,0.0003730749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965992,0.0001023142,0.0001191916,0.0005949331,0.0000655965,0.000149387,0.00001086879,0.00001838978,0.002340144],"genre_scores_gemma":[0.9967458,0.0005879995,0.0002714662,0.0001450917,0.00008666226,0.000004753937,0.00001813607,0.00000483423,0.002135206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5371218,"threshold_uncertainty_score":0.985912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009418532620140418,"score_gpt":0.2882439728043816,"score_spread":0.2788254401842412,"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."}}