{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002670779,0.0002447025,0.0003181773,0.0006932073,0.006707703,0.009106733,0.0004650257,0.00173503,0.01749322],"category_scores_gemma":[0.006099609,0.0001132819,0.0001991981,0.000883032,0.01017048,0.005174902,0.004335096,0.002067794,0.003475531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116663,"about_ca_system_score_gemma":0.003666604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01563585,"about_ca_topic_score_gemma":0.01993196,"domain_scores_codex":[0.9947291,0.002801003,0.0001579276,0.0004994135,0.0008420465,0.0009705251],"domain_scores_gemma":[0.9976676,0.0007928005,0.0002378159,0.0002480575,0.0004771039,0.0005765315],"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":[0.0000241251,0.00002475581,0.002816058,0.00007647005,0.000008496908,0.0003738631,0.1552524,0.00006075881,0.0005069808,0.7138359,0.06895912,0.05806111],"study_design_scores_gemma":[0.000003119085,0.00001790271,0.001717099,0.0001350209,0.000003559142,0.0001319523,0.04434953,0.00005204179,0.0001737448,0.03078819,0.9226156,0.00001218895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03072942,0.003480858,0.001598702,0.03690981,0.00104353,0.00002243425,0.0000901975,0.00003603071,0.9260891],"genre_scores_gemma":[0.7676477,0.00259568,0.0005223252,0.009234842,0.0005676324,0.00003543247,0.000108294,0.00009537551,0.2191928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01749322,"threshold_uncertainty_score":0.05852062,"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."}}