{"id":"W1517208527","doi":"","title":"\"Between Mosaic and Melting Pot\": Multiculturalism and Cultural Citizenship in Bharati Mukherjee","year":2005,"lang":"en","type":"article","venue":"Postcolonial text","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Melting pot; Citizenship; Multiculturalism; Mosaic; Sociology; Anthropology; Gender studies; Political science; History; Ethnic group; Ancient history; Law; Politics; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410872,0.000330064,0.0003642609,0.0006504029,0.02249936,0.005440129,0.0007827019,0.001503994,0.003869926],"category_scores_gemma":[0.00192758,0.0002900602,0.0001497124,0.001901861,0.01557053,0.0029869,0.005526219,0.005641665,0.0002435245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004295786,"about_ca_system_score_gemma":0.004894443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373355,"about_ca_topic_score_gemma":0.07694142,"domain_scores_codex":[0.9990919,0.0004280938,0.0000345971,0.00005458482,0.00009723023,0.0002937393],"domain_scores_gemma":[0.9985256,0.0008425986,0.0002090835,0.00008757917,0.0001031394,0.0002320791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002123318,0.00002610911,0.001264557,0.00004331543,0.000002696539,0.0006197484,0.6765798,0.00001642968,0.000409468,0.3135117,0.003355757,0.004149117],"study_design_scores_gemma":[0.00001819587,0.000080254,0.01972204,0.0002488721,0.00002071614,0.00114595,0.7854243,0.0001771352,0.0005993274,0.04133932,0.1511823,0.0000415219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7401285,0.004460496,0.000546011,0.04185594,0.0004678754,0.00005266687,0.0000542929,0.00002130383,0.212413],"genre_scores_gemma":[0.9903225,0.0006252509,0.0001162322,0.001105887,0.00005588991,0.00002115848,0.000006863332,0.000007610141,0.007738635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02373355,"threshold_uncertainty_score":0.04719085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661257390349178,"score_gpt":0.3288623353051777,"score_spread":0.2922497614016859,"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."}}