{"id":"W3121598770","doi":"10.1108/s0147-912120140000041008","title":"Convergences in Men’s and Women’s Life Patterns: Lifetime Work, Lifetime Earnings, and Human Capital InvestmentThe authors would like to thank the participants of the IZA Workshop on Gender Convergence in April 2014 and the seminar participants at Middlebury College, Wesleyan University and the IAFFE Annual Conference for helpful comments. The authors also would like to thank the editors Sol Polachek and Kostas Tatsiramos and two anonymous referees for their helpful suggestions on this paper.","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Earnings; Human capital; Educational attainment; Convergence (economics); Demographic economics; Economics; Current Population Survey; Population; Census; Labour economics; Demography; Sociology; Economic growth","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":[0.003892694,0.0002122479,0.0003554163,0.001614324,0.0005332011,0.001373419,0.0005023133,0.000473143,0.005606906],"category_scores_gemma":[0.01447883,0.000210662,0.0003858951,0.002682727,0.0006286003,0.001209207,0.001356702,0.0008610684,0.0005490912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005498842,"about_ca_system_score_gemma":0.0004266693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01747329,"about_ca_topic_score_gemma":0.01908926,"domain_scores_codex":[0.9989542,0.0003966997,0.00006084916,0.0002092577,0.0001655927,0.0002133823],"domain_scores_gemma":[0.9921827,0.003250128,0.002362018,0.0005402936,0.0007041991,0.000960707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008746367,0.00004654641,0.9764242,0.00002047574,0.0001023085,0.00006240157,0.002403945,0.0007012017,0.00008062842,0.002920447,0.002435333,0.01471498],"study_design_scores_gemma":[0.000002540586,0.00002225691,0.9939873,0.00002853639,0.00001368316,0.00002782732,0.001852197,0.00109024,0.00006452847,0.001336752,0.001564178,0.000009933687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872917,0.001686929,0.0014436,0.002435033,0.00004979971,0.00001673446,0.001682896,0.00001486737,0.005378444],"genre_scores_gemma":[0.996543,0.000388636,0.0002953495,0.000123712,0.0000414592,0.00001846103,0.00122972,0.00001171382,0.001347906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01747329,"threshold_uncertainty_score":0.03474313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06257214891692323,"score_gpt":0.2655081953163341,"score_spread":0.2029360463994109,"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."}}