{"id":"W1786739933","doi":"10.25071/1920-7336.21331","title":"Citizenship, Naturalization, and Asylum: The Case of Britain","year":2005,"lang":"en","type":"article","venue":"Refuge Canada s Journal on Refuge","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Naturalization; Citizenship; Ethnocentrism; Immigration; Commonwealth; Political science; Legislation; Refugee; Human rights; Globalization; Law; Colonialism; Xenophobia; Perspective (graphical); European union; Political economy; Sociology; Politics; International trade; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001475765,0.0001868456,0.0003411079,0.001093291,0.008114133,0.003997539,0.0008525025,0.00280082,0.002654872],"category_scores_gemma":[0.002686934,0.0002060504,0.0001912501,0.002760085,0.0111365,0.001819098,0.004578045,0.0026338,0.0002830933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009671893,"about_ca_system_score_gemma":0.003928361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1705124,"about_ca_topic_score_gemma":0.3595848,"domain_scores_codex":[0.9976802,0.001303663,0.00006863883,0.00006992696,0.0002181853,0.0006593326],"domain_scores_gemma":[0.9988545,0.0005748618,0.0001568117,0.00004519845,0.00009586706,0.0002727141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001514516,0.0001497794,0.01219102,0.0008252399,0.00002665892,0.01624169,0.5602862,0.000374518,0.0005347942,0.3082358,0.03721398,0.06376875],"study_design_scores_gemma":[0.00002712078,0.0001066485,0.0655532,0.001684691,0.00002316355,0.004639056,0.4433066,0.0001428299,0.000167769,0.01112256,0.4731623,0.00006405512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338823,0.1141172,0.0003940217,0.03864435,0.001173884,0.00005009105,0.00007355273,0.00001851636,0.2116461],"genre_scores_gemma":[0.9495085,0.02709932,0.0001776106,0.002776227,0.0001310324,0.00002942854,0.00003552794,0.00001407203,0.02022827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1705124,"threshold_uncertainty_score":0.3390398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009615465098616176,"score_gpt":0.2733657442734064,"score_spread":0.2637502791747902,"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."}}