{"id":"W7065548039","doi":"","title":"Doing well by doing good: logics of corporate social responsibility in Bangalore, India","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Management Bangalore; International Development Research Centre; McGill University; Shastri Indo-Canadian Institute","keywords":"Corporate social responsibility; Citizenship; Population; Social responsibility; Set (abstract data type); Welfare; Intervention (counseling)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002527249,0.0004619459,0.0004362907,0.002482402,0.01414299,0.0151857,0.001435656,0.001414946,0.002972889],"category_scores_gemma":[0.002422348,0.0008456043,0.0003792263,0.004310919,0.02804743,0.005539061,0.01005515,0.004498777,0.0003979514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0233794,"about_ca_system_score_gemma":0.01452163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1087535,"about_ca_topic_score_gemma":0.1665792,"domain_scores_codex":[0.9956889,0.002243259,0.0001929142,0.000349284,0.0005636228,0.0009621681],"domain_scores_gemma":[0.9953615,0.003073517,0.0004808314,0.0002797593,0.0002734227,0.000531093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006511543,0.00007402516,0.005849272,0.0004786309,0.00002108303,0.004414812,0.8008054,0.0003475031,0.001271998,0.1701385,0.001597716,0.01493591],"study_design_scores_gemma":[0.00001201982,0.0000609508,0.01471212,0.0006461306,0.00002465399,0.001232357,0.8987198,0.0003276904,0.0004958028,0.01278868,0.07088306,0.00009674626],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6830086,0.01622059,0.002212602,0.01756484,0.0001569604,0.0002940042,0.0001326884,0.00009540232,0.2803143],"genre_scores_gemma":[0.9903605,0.002836285,0.0004416916,0.0007179636,0.0000111927,0.00005982074,0.00002861542,0.000019224,0.005524679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1087535,"threshold_uncertainty_score":0.216241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145269774124332,"score_gpt":0.2542218045149926,"score_spread":0.2327691067737493,"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."}}