{"id":"W4312644309","doi":"10.1007/978-3-031-09198-8_8","title":"Poles Apart? Living Standards and Inequality by Labour Market Outcomes in Brazil and Sweden, ca. 1830–1920","year":2022,"lang":"en","type":"book-chapter","venue":"Palgrave studies in economic history","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inequality; Real wages; Standard of living; Per capita; Economics; Earnings; Welfare; Gini coefficient; Quarter (Canadian coin); Demographic economics; Economic inequality; Labour economics; Geography; Development economics; Sociology; Demography; Population; Wage; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000540262,0.0001983207,0.00029387,0.001720672,0.0009541325,0.0009957801,0.0003941801,0.0003328082,0.002318221],"category_scores_gemma":[0.002311988,0.0001325112,0.000230863,0.003626696,0.001337044,0.0008241707,0.001186708,0.0006355961,0.0003159115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162262,"about_ca_system_score_gemma":0.00190701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2791585,"about_ca_topic_score_gemma":0.4904691,"domain_scores_codex":[0.9997862,0.00003911732,0.00001692194,0.00005014641,0.00003322349,0.00007442827],"domain_scores_gemma":[0.9996204,0.00009819532,0.0001121223,0.00002522908,0.00008244889,0.00006156415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000242271,0.00009746705,0.5225706,0.0003457274,0.0002281998,0.00100414,0.07512255,0.001448369,0.0003901352,0.1934173,0.03397173,0.1711616],"study_design_scores_gemma":[0.000006226158,0.000023832,0.8854074,0.0005327982,0.00005003262,0.0002217887,0.01421785,0.0003554361,0.0001546828,0.008833864,0.09017596,0.00001999583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731734,0.04492764,0.0002805957,0.01278352,0.0001824912,0.000009763331,0.005188982,0.00002465088,0.06342903],"genre_scores_gemma":[0.9859551,0.006307046,0.0001354611,0.0001487866,0.00008268138,0.00001048203,0.0009858246,0.00001510587,0.006359626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2791585,"threshold_uncertainty_score":0.5550673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04520551552223107,"score_gpt":0.2699481539945643,"score_spread":0.2247426384723332,"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."}}