{"id":"W3124226182","doi":"10.2139/ssrn.2314815","title":"Income Inequality, Equality of Opportunity, and Intergenerational Mobility","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":207,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada; University of Ottawa","funders":"Queen's University; University of Lethbridge; Carnegie Foundation for the Advancement of Teaching","keywords":"Earnings; Human capital; Economics; Inequality; Social mobility; Labour economics; Investment (military); Economic inequality; Demographic economics; Quality (philosophy); Economic growth; Finance; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00100625,0.0001697136,0.0002702363,0.001290697,0.0009804121,0.001856061,0.0003882456,0.0006056888,0.007510763],"category_scores_gemma":[0.004910198,0.0001011386,0.0002281997,0.002590061,0.001571661,0.00237714,0.002067449,0.0007183911,0.0002462366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006801686,"about_ca_system_score_gemma":0.000436396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007170796,"about_ca_topic_score_gemma":0.01018599,"domain_scores_codex":[0.999488,0.0002076837,0.00002248023,0.00005321747,0.00006541736,0.0001630976],"domain_scores_gemma":[0.9972987,0.001691259,0.0005156673,0.0001267284,0.00009873909,0.00026897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002693371,0.0003812127,0.5302987,0.00008826733,0.00019104,0.0006256232,0.00715496,0.002620496,0.0001804191,0.4079629,0.002141603,0.0480854],"study_design_scores_gemma":[0.00002497322,0.0001093754,0.678963,0.000222458,0.0001277721,0.0004117409,0.01872554,0.003297657,0.0001721649,0.289616,0.008296636,0.00003269508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475839,0.003418577,0.001633856,0.003878654,0.00005046681,0.000009006033,0.0003638307,0.000005107783,0.04305653],"genre_scores_gemma":[0.9985706,0.0005124163,0.00006863852,0.00002948696,0.00002091481,0.000005036582,0.00004021651,0.000001076789,0.0007515629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007510763,"threshold_uncertainty_score":0.02512598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357619629367608,"score_gpt":0.3510402566596292,"score_spread":0.2974640603659531,"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."}}