{"id":"W4396227786","doi":"10.1177/09737030241238821","title":"Inclusion or Exclusion?: Gendered Experiences and Strategies of Migrants in Informal Settlements in Bengaluru","year":2024,"lang":"en","type":"article","venue":"Indian Journal of Human Development","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department for International Development; International Development Research Centre; START, Global Change System for Analysis, Research, and Training","keywords":"Livelihood; Informal settlements; Inclusion (mineral); Human settlement; Social exclusion; Context (archaeology); Settlement (finance); Inclusion–exclusion principle; Sociology; Participant observation; Agency (philosophy); Internal migration; Geography; Socioeconomics; Gender studies; Economic growth; Political science; Social science; Population; Agriculture; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409507,0.0001298768,0.0002504649,0.0007009335,0.0003459079,0.00009435474,0.0002782955,0.00008880749,0.0003245152],"category_scores_gemma":[0.00003748946,0.00009556774,0.00003117035,0.0003462746,0.0001691971,0.0006937101,0.0002301758,0.0002190124,0.000001982467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833742,"about_ca_system_score_gemma":0.001389402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001250356,"about_ca_topic_score_gemma":0.007637285,"domain_scores_codex":[0.9980479,0.0001023497,0.0008075591,0.0001287954,0.000626187,0.0002872133],"domain_scores_gemma":[0.9995335,0.0000659119,0.0001817801,0.0000446423,0.00006141056,0.0001127143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004368533,0.00006567861,0.01258127,0.0001055676,0.00002982343,0.000462759,0.9589849,0.000003707571,0.0001475679,0.00065145,0.0002245247,0.02669904],"study_design_scores_gemma":[0.001550477,0.0003056491,0.2331397,0.002392784,0.00000672106,0.00004231512,0.7462171,0.000005938737,0.001603484,0.001661116,0.01271774,0.0003570126],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958337,0.001585083,0.00000258217,0.0003499398,0.0002359579,0.000138568,8.260722e-7,0.00000795799,0.001845376],"genre_scores_gemma":[0.9983466,0.0007970488,0.0004498697,0.00002299449,0.00004561113,0.000006585417,0.000001667379,0.000006530264,0.000323134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2205584,"threshold_uncertainty_score":0.4261784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367496768879297,"score_gpt":0.3305447800019941,"score_spread":0.2868698123132011,"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."}}