{"id":"W2073645134","doi":"10.1108/ijm-01-2012-0017","title":"Glass ceiling or sticky floor? Quantile regression decomposition of the gender pay gap in China","year":2014,"lang":"en","type":"article","venue":"International Journal of Manpower","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gender pay gap; Quantile; Distribution (mathematics); Glass ceiling; Quantile regression; Economics; Wage; China; Econometrics; Ceiling (cloud); Demographic economics; Labour economics; Mathematics; Geography","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":[0.002813013,0.0003827857,0.0005945318,0.001694158,0.0002993645,0.0008053255,0.0007423547,0.0004170797,0.003910739],"category_scores_gemma":[0.005122067,0.0002007981,0.0008351877,0.001489517,0.0006707374,0.0005444457,0.0009321892,0.000811316,0.000282068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139023,"about_ca_system_score_gemma":0.0009685179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04962104,"about_ca_topic_score_gemma":0.01495098,"domain_scores_codex":[0.9990018,0.0002679128,0.00004071225,0.0002375011,0.0001692692,0.0002828425],"domain_scores_gemma":[0.9980982,0.0006987158,0.0004810025,0.0002457098,0.0003237028,0.0001526467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002085008,0.00009468549,0.8621395,0.0001366731,0.0002765887,0.0004464323,0.001131461,0.03847002,0.0009471783,0.02412314,0.002912808,0.06911301],"study_design_scores_gemma":[0.00001253723,0.00006410909,0.8760185,0.00005577729,0.00006568762,0.00006175662,0.0008439926,0.1097782,0.0003893903,0.01068973,0.001992652,0.00002760676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745744,0.0007569487,0.01966898,0.0006628881,0.00003454916,0.00003728484,0.0008390613,0.0001132401,0.00331271],"genre_scores_gemma":[0.9979314,0.0001002779,0.0007869529,0.00003223818,0.00001363649,0.00001410393,0.0003766983,0.00001084734,0.0007337544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04962104,"threshold_uncertainty_score":0.09866446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841577245470836,"score_gpt":0.2896853434453519,"score_spread":0.2612695709906435,"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."}}