{"id":"W3121355572","doi":"","title":"Making Sense of Naturalization: What Citizenship Means to Naturalizing Immigrants in Canada and the United States","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Naturalization; Citizenship; Immigration; Political science; Sociology; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002174305,0.0002486062,0.0004300329,0.0009907264,0.0183449,0.008150183,0.00160533,0.001381932,0.003712473],"category_scores_gemma":[0.005598743,0.000214181,0.0003211128,0.001579226,0.01138014,0.002857191,0.006269027,0.003537116,0.0001673464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02289949,"about_ca_system_score_gemma":0.07098052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9628816,"about_ca_topic_score_gemma":0.9865965,"domain_scores_codex":[0.996874,0.0007152468,0.00006357325,0.0001723562,0.0003434935,0.00183143],"domain_scores_gemma":[0.9955778,0.0004959025,0.0004661326,0.0001469756,0.001067152,0.002245929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008878499,0.000153277,0.1636261,0.00007372849,0.00004044537,0.000487551,0.7789006,0.0001187946,0.0002683474,0.01471228,0.006846514,0.03468351],"study_design_scores_gemma":[0.000004062992,0.00001509383,0.06950886,0.0001164651,0.00001477174,0.00004558928,0.9172599,0.00005918841,0.00006560262,0.001240728,0.01164364,0.0000261171],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635048,0.0007428149,0.0001401831,0.01139423,0.00008947561,0.00002133296,0.00009171932,0.000006310528,0.02400916],"genre_scores_gemma":[0.996781,0.0003482209,0.00006598372,0.0005894944,0.000006966323,0.00000581693,0.0000405237,0.000005003616,0.002156888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03711843,"threshold_uncertainty_score":0.1661482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274745812429529,"score_gpt":0.2879235799277101,"score_spread":0.2651761218034148,"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."}}