{"id":"W2097343718","doi":"10.1111/j.1475-4991.2009.00333.x","title":"CHILD POVERTY, INVESTMENT IN CHILDREN AND GENERATIONAL MOBILITY: THE SHORT AND LONG TERM WELLBEING OF CHILDREN IN URBAN CHINA AFTER THE ONE CHILD POLICY","year":2009,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Poverty; China; Urbanization; Economics; One-child policy; Investment (military); Educational attainment; Demographic economics; Social mobility; Development economics; Economic growth; Geography; Political science; Sociology; Demography; Population; Family planning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001216114,0.0001051211,0.0002711297,0.00006956905,0.000268464,0.00002001647,0.0001093236,0.00003261626,0.00001238023],"category_scores_gemma":[0.0001023322,0.00006360782,0.00003771468,0.0002242769,0.0002206251,0.0001018371,0.00005892443,0.0001266124,2.066778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000048111,"about_ca_system_score_gemma":0.0001098762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373962,"about_ca_topic_score_gemma":0.001710241,"domain_scores_codex":[0.9987578,0.0002380323,0.0004356749,0.0001733101,0.0002425905,0.0001526241],"domain_scores_gemma":[0.9996392,0.00005522523,0.000102639,0.0001150363,0.00003955816,0.00004835223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007130946,0.0001288582,0.9422324,0.0001707146,0.00002774015,7.218607e-8,0.002585649,0.00000167978,0.000002417375,0.05164763,0.00008893359,0.003106743],"study_design_scores_gemma":[0.00009356849,0.00003896208,0.9970178,0.001086296,0.00001406355,0.000004113695,0.00003557493,0.000002982094,0.000006170414,0.001536523,0.00009711021,0.00006685482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636724,0.08944896,0.000001074085,0.04569858,0.0000169051,0.0005666846,0.00002099651,0.000002305512,0.000572121],"genre_scores_gemma":[0.902356,0.08952648,0.00002794677,0.007803753,0.0002214434,0.00002385413,0.00002018062,0.000002747243,0.00001757972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05478535,"threshold_uncertainty_score":0.3588736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497530510539205,"score_gpt":0.3174810855381092,"score_spread":0.3025057804327172,"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."}}