{"id":"W2071202540","doi":"10.3167/foc.2007.490106","title":"Speaking of citizenship","year":2007,"lang":"en","type":"article","venue":"Focaal","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ideology; Citizenship; Restructuring; Politics; Welfare state; Language policy; Political economy; Sociology; Context (archaeology); Political science; Commodity; State (computer science); Public administration; Economic system; Economics; Market economy; Law","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":[0.0005760573,0.00002200988,0.00003908471,0.00003729659,0.00007945826,0.000007007354,0.00007022174,0.00003000009,0.000475194],"category_scores_gemma":[0.0003177134,0.00002221505,0.00002218204,0.0001175835,0.00007994378,0.00001639115,0.000005654794,0.0000350198,0.00004541039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867834,"about_ca_system_score_gemma":0.00009873886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043446,"about_ca_topic_score_gemma":0.002001998,"domain_scores_codex":[0.9996016,0.00002480795,0.00008496901,0.00004301015,0.0001164229,0.0001291635],"domain_scores_gemma":[0.999724,0.00009280165,0.00003431955,0.00004903807,0.00004083986,0.00005903801],"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":[0.00002117381,0.00005243532,0.02320822,0.00001310076,0.00001053342,0.000002612716,0.2265146,0.000001405455,0.0007858446,0.5221248,0.004808898,0.2224564],"study_design_scores_gemma":[0.0002990181,0.00003218046,0.09884554,0.00002675611,0.000008015766,9.737579e-7,0.04014115,0.000008864179,0.005838061,0.007849015,0.8467793,0.0001710825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.525145,0.00001976093,0.00007211976,0.000304888,0.0002550761,0.00002554394,5.208661e-7,0.00001455401,0.4741625],"genre_scores_gemma":[0.9967836,0.000002800785,0.00036229,0.0001961589,0.0005546297,2.314287e-7,5.148729e-7,0.000002226684,0.002097582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8419704,"threshold_uncertainty_score":0.5203041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147223362329723,"score_gpt":0.4958009004754226,"score_spread":0.3810785642424502,"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."}}