{"id":"W2324591225","doi":"10.1017/s1365100515000218","title":"A DYNAMIC MODEL OF TAXATION, CORRUPTION, AND PUBLIC INVESTMENT IN THE DYNASTIC CYCLE: THE CASE OF IMPERIAL CHINA","year":2016,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Stylized fact; Economics; Public capital; Emperor; Investment (military); Language change; Capital (architecture); Productivity; China; Distribution (mathematics); Production (economics); Extortion; Macroeconomics; Monetary economics; Economy; Economic policy; Public investment; Political science","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":[0.000635653,0.0004286914,0.0007039681,0.0004968297,0.0006352579,0.001811897,0.001056104,0.001184247,0.003134516],"category_scores_gemma":[0.002163284,0.0003850653,0.0004757468,0.0007289401,0.001316209,0.001277196,0.00090143,0.0009856184,0.0002734332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002685803,"about_ca_system_score_gemma":0.002121924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07468271,"about_ca_topic_score_gemma":0.03545964,"domain_scores_codex":[0.9997858,0.00008680864,0.000009149379,0.00004254201,0.00002375993,0.00005196767],"domain_scores_gemma":[0.9992489,0.0002686313,0.0002081652,0.00003752965,0.00008993105,0.0001467554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009221603,0.00004655292,0.005518381,0.00003432034,0.00004782508,0.0004373255,0.0002873728,0.6231907,0.0003819136,0.364854,0.0017773,0.003332068],"study_design_scores_gemma":[0.00009893468,0.00002801794,0.001834131,0.0000134685,0.00002109322,0.00004874835,0.0001145642,0.9220726,0.00006345487,0.07350655,0.002168766,0.00002968898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519046,0.001375594,0.1002974,0.007756205,0.0001130357,0.00007518361,0.001302535,0.0001483226,0.03702707],"genre_scores_gemma":[0.9865274,0.000613065,0.002026906,0.00007598453,0.00003581992,0.00004166612,0.0002038803,0.00001610981,0.01045912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07468271,"threshold_uncertainty_score":0.148496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576892018032732,"score_gpt":0.2133986210397544,"score_spread":0.197629700859427,"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."}}