{"id":"W2131377415","doi":"10.1177/1468796811407813","title":"Multicultural citizenship within multination states","year":2011,"lang":"en","type":"article","venue":"Ethnicities","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Citizenship; Naturalization; Immigration; Multiculturalism; Multinational corporation; Context (archaeology); Political science; Nationalism; Devolution (biology); Sociology; State (computer science); Gender studies; Political economy; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004163827,0.00009022855,0.00009055549,0.00005407578,0.0004144412,0.00005904797,0.0001192009,0.00008709605,0.0006402965],"category_scores_gemma":[0.0003864197,0.00007177293,0.00004570213,0.0001184305,0.0002585348,0.0003016386,0.000009753011,0.0001029833,0.00008175505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006670428,"about_ca_system_score_gemma":0.00005118997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007509178,"about_ca_topic_score_gemma":0.02808466,"domain_scores_codex":[0.9990109,0.0002046519,0.0002003737,0.000135121,0.0002625995,0.000186325],"domain_scores_gemma":[0.9994375,0.0000770851,0.00009702192,0.00008395611,0.000245771,0.00005863251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001578866,0.00002036167,0.0008528612,0.000006906985,0.00001177225,8.30111e-7,0.8908705,0.000008403576,0.0004834464,0.1025888,0.004168046,0.0009723062],"study_design_scores_gemma":[0.0007851811,0.0002306966,0.04402557,0.0001029276,0.00004842895,0.000002077122,0.8411727,0.002159632,0.02969567,0.0588697,0.02214724,0.0007601812],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392259,0.0001758605,0.0002990579,0.0002645184,0.0005351085,0.000202643,0.000008380584,0.0001873086,0.05910126],"genre_scores_gemma":[0.9832883,0.0001032672,0.001372372,0.0001796726,0.0002173004,0.00002063119,0.00003401965,0.000007486931,0.01477694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04969783,"threshold_uncertainty_score":0.9990999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07238026168529096,"score_gpt":0.3150502991066831,"score_spread":0.2426700374213921,"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."}}