{"id":"W2111691216","doi":"10.1080/1362102022000041222","title":"Introduction: Reconfiguring Canadian Citizenship","year":2002,"lang":"en","type":"article","venue":"Citizenship Studies","topic":"Social Media and Politics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Citizenship; Immigration; Scholarship; Political science; CONTEST; Democracy; Multiculturalism; Good citizenship; State (computer science); Government (linguistics); Gender studies; Sociology; Law; Politics; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002282155,0.0007046084,0.0003463636,0.002356603,0.03100763,0.01374164,0.001689412,0.003855574,0.02952112],"category_scores_gemma":[0.004858524,0.0003351072,0.0006354116,0.003675875,0.01282434,0.00481212,0.004404577,0.004519981,0.00292821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1060743,"about_ca_system_score_gemma":0.09830569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.967342,"about_ca_topic_score_gemma":0.9815979,"domain_scores_codex":[0.9964889,0.0005289332,0.00007122215,0.0005642718,0.001275694,0.00107096],"domain_scores_gemma":[0.9973497,0.0003879275,0.00006514831,0.0001634263,0.001330874,0.0007028626],"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":[0.00002836355,0.00001073889,0.001458665,0.000119004,0.000006080655,0.000214734,0.04445745,0.0001044889,0.00020415,0.4803619,0.4400989,0.03293545],"study_design_scores_gemma":[0.000002227105,0.000003365681,0.0009780191,0.00008898823,0.000003109438,0.0000409669,0.007609912,0.00003417622,0.00005161356,0.00437533,0.9867928,0.00001952602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01629416,0.01812192,0.001706032,0.1831211,0.01055468,0.00007744752,0.001488053,0.0002374104,0.7683992],"genre_scores_gemma":[0.3610536,0.02055957,0.005025881,0.05986922,0.002707277,0.0001405931,0.001374448,0.0006654021,0.5486041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1060743,"threshold_uncertainty_score":0.7696266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241101058794391,"score_gpt":0.3323054573095123,"score_spread":0.2081953514300732,"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."}}