{"id":"W3166992550","doi":"10.4000/remi.17205","title":"Aiming at Civic Integration? How Canada’s Naturalization Rules are Sidelining Refugees and Family-Class Immigrants","year":2020,"lang":"en","type":"article","venue":"Revue européenne de migrations internationales","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Systems, Applications & Products in Data Processing (Canada); University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Weatherhead Center for International Affairs, Harvard University; Harvard University","keywords":"Naturalization; Citizenship; Refugee; Immigration; Political science; Class (philosophy); Sociology; Gender studies; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003851193,0.0002752583,0.0002760502,0.0001873451,0.001079196,0.0003771615,0.0003413594,0.0001397223,0.00008986316],"category_scores_gemma":[0.00211677,0.0002820502,0.0001002272,0.0003866299,0.0001520051,0.0006313635,0.00007092556,0.0002646904,0.00002397142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006865687,"about_ca_system_score_gemma":0.0005522078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06461716,"about_ca_topic_score_gemma":0.9233534,"domain_scores_codex":[0.9976923,0.0003662499,0.000517041,0.0005120152,0.0005699608,0.0003423623],"domain_scores_gemma":[0.9981185,0.0003061155,0.0004226119,0.0001833115,0.0007188609,0.0002506603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000181527,0.0001710624,0.09595817,0.0002456488,0.0003694458,0.00008119139,0.1437967,0.002518354,0.0343263,0.408563,0.2975348,0.01625378],"study_design_scores_gemma":[0.0007106591,0.0001087821,0.08973743,0.0005676685,0.000128551,0.00003257922,0.0308086,0.06067149,0.002436636,0.001792801,0.8119785,0.001026271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160002,0.003179736,0.0109048,0.06645618,0.0005279441,0.0004618882,0.0002083669,0.0002129102,0.002047995],"genre_scores_gemma":[0.9886347,0.00116955,0.001697969,0.002137631,0.0008527793,0.0000439469,0.0005150781,0.0000378132,0.004910528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8587363,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822305021044837,"score_gpt":0.2712687812216148,"score_spread":0.2430457310111664,"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."}}