{"id":"W4367151592","doi":"10.2139/ssrn.4428282","title":"Inequality of Opportunity and Income Redistribution","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inequality; Redistribution (election); Economic inequality; Redistribution of income and wealth; Economics; Income distribution; Income inequality metrics; Labour economics; Demographic economics; Public economics; Political science; Economic growth; Mathematics; Unemployment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008961534,0.0001649677,0.000314124,0.001305109,0.0009026311,0.002096577,0.0001958007,0.0006855649,0.01095539],"category_scores_gemma":[0.003485928,0.00009161334,0.0001915286,0.001638985,0.002712481,0.001645341,0.001582069,0.0008671634,0.0003348473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011854,"about_ca_system_score_gemma":0.0007168456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004936905,"about_ca_topic_score_gemma":0.008256677,"domain_scores_codex":[0.9994799,0.000242039,0.00001314071,0.00004212237,0.00006173668,0.0001610626],"domain_scores_gemma":[0.9980549,0.001307037,0.0002451619,0.00007014936,0.00009409545,0.0002286366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001579569,0.0001480954,0.06192623,0.0000515911,0.00005800344,0.0002249666,0.001667377,0.001521311,0.0001793599,0.9115413,0.002824817,0.01969904],"study_design_scores_gemma":[0.00003261771,0.00006869209,0.1265309,0.0001367771,0.0000491735,0.0002379796,0.005175029,0.002714094,0.0001354103,0.8497621,0.01513698,0.00002038888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6783676,0.009504691,0.004013901,0.02796652,0.0001964596,0.00001942555,0.0004770076,0.0000149905,0.2794394],"genre_scores_gemma":[0.9953716,0.00141243,0.00009250202,0.0001174042,0.0001163147,0.00000658752,0.00002498733,0.000002349487,0.002855909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01095539,"threshold_uncertainty_score":0.03664947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032246152572533,"score_gpt":0.3344237223969108,"score_spread":0.2941012608711854,"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."}}