{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002432332,0.0002104735,0.0003052802,0.002283413,0.0068724,0.00308831,0.001249336,0.0008252572,0.002789099],"category_scores_gemma":[0.004657757,0.0003078399,0.0003326192,0.002193864,0.004760892,0.001700094,0.004319609,0.001477039,0.0003369122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414788,"about_ca_system_score_gemma":0.002326271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04118966,"about_ca_topic_score_gemma":0.07880715,"domain_scores_codex":[0.9972366,0.001220206,0.00009918623,0.0001230955,0.0003489588,0.0009719899],"domain_scores_gemma":[0.9981434,0.000512481,0.0004795421,0.00009538056,0.0001626213,0.0006065195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001064683,0.0001040054,0.1068278,0.00007574675,0.00001492558,0.002105501,0.8712864,0.00001484934,0.0006061992,0.005704444,0.001120143,0.0120335],"study_design_scores_gemma":[0.000006634755,0.00003557961,0.08543281,0.0001216107,0.00001041032,0.001159341,0.9074697,0.00005311392,0.00009219157,0.0005069178,0.005098056,0.00001364664],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907674,0.0003397464,0.00004367363,0.001242693,0.00003705558,0.00001047852,0.0000110912,0.00000220333,0.007545508],"genre_scores_gemma":[0.9979402,0.0003776962,0.00006849074,0.0003681798,0.00002927072,0.00001266497,0.00001451096,0.000004444491,0.001184382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04118966,"threshold_uncertainty_score":0.08189982,"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."}}