{"id":"W4293077343","doi":"10.1017/s0026749x21000743","title":"Doing ‘coolie’ work in a ‘gentlemanly’ way: Gender and caste on the famine public works in colonial North India","year":2022,"lang":"en","type":"article","venue":"Modern Asian Studies","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Tata Institute of Social Sciences; University of Toronto","keywords":"Famine; Caste; Subsistence agriculture; Colonialism; State (computer science); History; Development economics; Sociology; Political science; Geography; Economics; Archaeology; Law; Agriculture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001044594,0.0001824628,0.0002181046,0.001300578,0.005539455,0.003370374,0.0005281261,0.0003660331,0.005230846],"category_scores_gemma":[0.002519415,0.0001485385,0.00009409689,0.001799535,0.008925562,0.001159984,0.002727939,0.0007242968,0.0003074674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00272098,"about_ca_system_score_gemma":0.001222952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04303255,"about_ca_topic_score_gemma":0.1061846,"domain_scores_codex":[0.9987608,0.000559583,0.00002518965,0.00006712476,0.000148642,0.0004387085],"domain_scores_gemma":[0.9980022,0.0009473684,0.0005098698,0.00012695,0.0001640338,0.0002495199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001247188,0.00009157269,0.1163106,0.00008143192,0.00001273613,0.000689038,0.8249475,0.00008899347,0.000616824,0.02912557,0.001289509,0.02662151],"study_design_scores_gemma":[0.000005281335,0.00005482999,0.3049407,0.0001682792,0.000009415259,0.0002442355,0.6708987,0.0000689982,0.0001685573,0.00193705,0.02148825,0.00001563795],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751854,0.0004074311,0.00008779919,0.0007751951,0.000009166867,0.000003917344,0.00002577083,0.000002054423,0.02350331],"genre_scores_gemma":[0.9986499,0.0001169317,0.00001627666,0.00002659359,0.00000569944,0.000001311753,0.000004052245,0.000001456826,0.001177697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04303255,"threshold_uncertainty_score":0.08556414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07360253675131893,"score_gpt":0.2299286651548054,"score_spread":0.1563261284034864,"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."}}