{"id":"W4288515674","doi":"10.1080/1369183x.2022.2099360","title":"Getting home during lockdown: migration disruption, labour control and linked lives in India at the time of Covid-19","year":2022,"lang":"en","type":"article","venue":"Journal of Ethnic and Migration Studies","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Precarity; Tamil; Coronavirus disease 2019 (COVID-19); Workforce; Migrant workers; Capitalism; Work (physics); Sociology; Political science; Economic growth; Gender studies; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001563271,0.0001066492,0.0003610622,0.000152741,0.001357451,0.000004948009,0.00005679422,0.00003668504,0.00004944536],"category_scores_gemma":[0.0005476997,0.00006938837,0.00004923674,0.0001959433,0.0001237008,0.0001278628,0.0001747025,0.0003571212,0.000001140044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585869,"about_ca_system_score_gemma":0.00007893704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001094218,"about_ca_topic_score_gemma":0.001443346,"domain_scores_codex":[0.9981847,0.0006135056,0.0006968512,0.000108881,0.0002361414,0.0001599416],"domain_scores_gemma":[0.9978685,0.001054989,0.0007611614,0.0000647511,0.0002018016,0.00004883148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004641243,0.00005462904,0.7599956,0.000377603,0.000315029,0.00001098779,0.2271606,0.0001315921,0.005987913,0.0002471079,0.004762316,0.000492554],"study_design_scores_gemma":[0.002003397,0.0001888289,0.9012172,0.0001012687,0.0000714089,0.00001344936,0.09344807,0.00002817091,0.00001711829,0.0005218442,0.002305104,0.00008410905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431987,0.03606044,0.00001931997,0.02021649,0.000145335,0.0003075791,0.00002143608,0.00000738793,0.00002333292],"genre_scores_gemma":[0.9855036,0.01171133,0.00001301167,0.0008540019,0.0001314745,0.00004870628,0.000002860161,0.00000681343,0.001728211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412217,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05463679580711538,"score_gpt":0.4064594069910955,"score_spread":0.3518226111839801,"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."}}