{"id":"W3043488421","doi":"10.2478/izajolp-2020-0005","title":"Does Census Hiring Stimulate Jobs Growth?","year":2020,"lang":"en","type":"article","venue":"IZA Journal of Labor Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"George Mason University","keywords":"Census; Peacetime; American Community Survey; Microdata (statistics); Government (linguistics); Spillover effect; Economics; Workforce; Demographic economics; Labour economics; Economic growth; Population; Political science; Demography; Sociology; Law; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005930816,0.0001693351,0.0005324378,0.0002406084,0.00007017513,0.0001107656,0.0003967627,0.00008855262,0.0001473513],"category_scores_gemma":[0.001187557,0.0001283428,0.0001933338,0.0005828126,0.00004324446,0.0002899752,0.00008631578,0.0003121272,0.00005321723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138621,"about_ca_system_score_gemma":0.00008045131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002990465,"about_ca_topic_score_gemma":0.00000737241,"domain_scores_codex":[0.9982877,0.00003537748,0.001062358,0.0002096262,0.00007892163,0.0003260368],"domain_scores_gemma":[0.9983394,0.00008814476,0.0008787484,0.000179446,0.000213188,0.0003011362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001446544,0.0001003514,0.1632982,0.0001101534,0.000205561,0.0001327911,0.001175173,0.0005963342,0.0002619399,0.8315483,0.0008133588,0.001613165],"study_design_scores_gemma":[0.003832937,0.0004921973,0.2300527,0.0001025905,0.00004634716,0.00004671641,0.000157614,0.004488987,0.0005299951,0.5767856,0.1824825,0.0009818838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547241,0.0008649966,0.0009617087,0.03828811,0.0007297542,0.00007910284,0.0007453744,0.00002528932,0.003581572],"genre_scores_gemma":[0.9931116,0.000643771,0.0008531247,0.003651694,0.001541521,7.823708e-7,0.000003190732,0.00003281483,0.000161567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2547627,"threshold_uncertainty_score":0.5233668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198122694092099,"score_gpt":0.2552276549104299,"score_spread":0.2232464279695089,"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."}}