{"id":"W2912290321","doi":"10.3982/ecta17018","title":"Intergenerational Mobility in Africa","year":2021,"lang":"en","type":"article","venue":"Econometrica","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; London Business School","keywords":"Geography; Destinations; Economic geography; Demographic economics; Literacy; Census; Educational attainment; Independence (probability theory); Internal migration; Development economics; Economic growth; Demography; Developing country; Sociology; Population; Economics; Tourism","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":[0.0003181096,0.000168046,0.0001466549,0.00181098,0.0003883437,0.0006784904,0.0001688711,0.0001311519,0.002039016],"category_scores_gemma":[0.001990443,0.00008449992,0.0002190183,0.004094392,0.0002582011,0.0006983135,0.0009759862,0.0002525681,0.0001488313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006246571,"about_ca_system_score_gemma":0.0002761913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03353561,"about_ca_topic_score_gemma":0.042792,"domain_scores_codex":[0.999817,0.0000558064,0.00001040714,0.00002274915,0.00001912235,0.00007506736],"domain_scores_gemma":[0.9992998,0.000192928,0.0003675466,0.00003584301,0.00005475136,0.00004912417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003759425,0.00002830085,0.958267,0.0000738277,0.0000905679,0.0003289708,0.003608441,0.002502728,0.0002013791,0.006292174,0.0008164928,0.02775245],"study_design_scores_gemma":[0.000003286837,0.00002220531,0.9865084,0.00008277244,0.00001860561,0.0001338318,0.003593462,0.002089513,0.0001037311,0.001344389,0.006092151,0.000007687649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934958,0.0009309102,0.0007368707,0.0002196974,0.000005461595,0.00001140109,0.001499284,0.000004476197,0.003096074],"genre_scores_gemma":[0.9985197,0.0005307276,0.0002079492,0.00000729001,0.000002887753,0.00001087975,0.0003826393,0.000001064235,0.0003368612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03353561,"threshold_uncertainty_score":0.06668079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255204742207523,"score_gpt":0.3559676972537762,"score_spread":0.2304472230330239,"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."}}