{"id":"W2327355029","doi":"10.2307/3557805","title":"Ethnic Group Recruitment in the Indian Army: The Contrasting Cases of Sikhs, Muslims, Gurkhas and Others","year":2001,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Political science; Gender studies; Ancient history; Demography; Criminology; History; Sociology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246755,0.0001010851,0.0001527339,0.0000383477,0.0004371489,0.00004193459,0.0002073811,0.00005540808,0.00004744975],"category_scores_gemma":[0.0002553056,0.00006039709,0.00004668583,0.0003857706,0.0005058135,0.0000473764,0.00002938015,0.0001326435,0.000005814371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003691148,"about_ca_system_score_gemma":0.00003559196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667091,"about_ca_topic_score_gemma":0.006921222,"domain_scores_codex":[0.9987398,0.0003088425,0.0001914303,0.0001717879,0.0002567454,0.0003313873],"domain_scores_gemma":[0.9989289,0.0007168603,0.0001068293,0.0001728083,0.00002279772,0.0000517812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002929468,0.0000548115,0.01558977,0.000009999707,0.00004017545,0.00006557833,0.903024,0.000001784878,0.00001844279,0.005357817,0.0003080635,0.07550028],"study_design_scores_gemma":[0.000219131,0.00004564233,0.009701336,0.00002691041,0.00001348797,0.000006838894,0.9659597,0.000004474225,0.000001998914,0.000224436,0.02371947,0.00007660645],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3784449,0.004179894,0.00001947264,0.005264,0.0002701914,0.001358636,0.0000143005,0.00004229934,0.6104063],"genre_scores_gemma":[0.9986878,0.0008492228,0.00001662727,0.00008239835,0.0001156674,0.00007408462,0.00000104529,0.000007017673,0.0001661513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6202429,"threshold_uncertainty_score":0.3862204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09777243932039333,"score_gpt":0.3280755752813123,"score_spread":0.230303135960919,"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."}}