{"id":"W2004326712","doi":"10.1086/ahr.110.3.777","title":":Hindu Nationalism and the Language of Politics in Late Colonial India.<i>(Cambridge Studies in Indian History and Society, number 11.)</i>","year":2005,"lang":"en","type":"article","venue":"The American Historical Review","topic":"Indian History and Philosophy","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hinduism; Secularism; Hindu nationalism; Nationalism; Politics; Ideology; Hindutva; Colonialism; Caste; Gender studies; Indian nationalism; Constitution of India; State (computer science); Sociology; Law; Political science; Religious studies","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":[0.001260471,0.0004358127,0.0002068826,0.001732055,0.008947963,0.008746972,0.001287487,0.001627877,0.002592557],"category_scores_gemma":[0.001629731,0.0002751219,0.0001502846,0.002708907,0.01945059,0.004087085,0.002644351,0.002875372,0.0005531826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006893796,"about_ca_system_score_gemma":0.003468407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06097658,"about_ca_topic_score_gemma":0.08349263,"domain_scores_codex":[0.9985396,0.0008679619,0.00003356491,0.00008683,0.0001468042,0.0003253237],"domain_scores_gemma":[0.9987456,0.0007950521,0.0001359925,0.00005993898,0.00009208036,0.0001713942],"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":[0.0000269659,0.00001600156,0.001179345,0.0001115416,0.000004371555,0.0003783811,0.2264748,0.00006230942,0.0001343764,0.7135587,0.04632236,0.01173085],"study_design_scores_gemma":[0.00001137209,0.00003140748,0.01039529,0.0004748779,0.00001073241,0.0005962876,0.1200594,0.0002046063,0.0002628751,0.04047579,0.8274409,0.0000364941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08860304,0.1813312,0.0007549548,0.1513245,0.003247855,0.00002272826,0.0001624897,0.0001095434,0.5744438],"genre_scores_gemma":[0.9422168,0.01559472,0.0002465016,0.006366793,0.001193751,0.00003483832,0.00004927254,0.00003607247,0.03426126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06097658,"threshold_uncertainty_score":0.1212434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03877833161272585,"score_gpt":0.2811071521339309,"score_spread":0.2423288205212051,"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."}}