{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003320714,0.0001419185,0.0002687489,0.0006593528,0.01013636,0.006335085,0.0004603291,0.001161547,0.00366348],"category_scores_gemma":[0.002582875,0.000165881,0.0002997849,0.0009135769,0.01273321,0.003499625,0.009621521,0.002009557,0.0001522932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003947795,"about_ca_system_score_gemma":0.003206334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638801,"about_ca_topic_score_gemma":0.02943044,"domain_scores_codex":[0.9969273,0.001542588,0.00009349201,0.0004283657,0.0002168303,0.000791365],"domain_scores_gemma":[0.9980781,0.0005597025,0.0003244427,0.0002491465,0.0002015973,0.0005870686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003076181,0.00004877283,0.0146612,0.00005645954,0.00002004229,0.0004724937,0.1557547,0.0002860292,0.0003229991,0.8052563,0.001796493,0.02129366],"study_design_scores_gemma":[0.0000430103,0.0001583941,0.0483097,0.0007710712,0.00006238447,0.0006654263,0.2490567,0.001999131,0.0007136032,0.3181543,0.3799608,0.0001054759],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6902119,0.001348375,0.003512756,0.008725544,0.0001132975,0.00004785153,0.00001909523,0.00002782125,0.2959934],"genre_scores_gemma":[0.9945027,0.0001649315,0.0003478887,0.000516741,0.00001701568,0.00001998397,0.000004571349,0.000004995927,0.004421111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01638801,"threshold_uncertainty_score":0.0325852,"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."}}