{"id":"W7081914107","doi":"10.2139/ssrn.5477723","title":"Does Growth Lead to Labor Reallocation?","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Quality (philosophy); Welfare; Product (mathematics); Population; Lead (geology); Current Population Survey; Population growth; Labor demand; Job creation","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":[0.0007788,0.0002691402,0.000471208,0.000688469,0.0006311063,0.002246791,0.0004366256,0.001534061,0.03161053],"category_scores_gemma":[0.007641364,0.0002168283,0.0004170772,0.001287569,0.001166069,0.002007752,0.0008192136,0.001052983,0.002535806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007937979,"about_ca_system_score_gemma":0.001064726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079553,"about_ca_topic_score_gemma":0.008828087,"domain_scores_codex":[0.9996855,0.0000781831,0.00001190906,0.0000596467,0.0000253055,0.0001394935],"domain_scores_gemma":[0.992427,0.003815134,0.002162245,0.0002474421,0.0004381286,0.0009100478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003649588,0.000779385,0.6326976,0.0009199099,0.0002998208,0.003093368,0.002865073,0.007993005,0.002578726,0.1411953,0.05244534,0.1514829],"study_design_scores_gemma":[0.0002932151,0.0004891434,0.5956505,0.0004206101,0.0003097081,0.0009377386,0.02033758,0.01010651,0.002100871,0.3081318,0.06114177,0.00008050284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696499,0.006551727,0.001636413,0.05491913,0.0005175041,0.0000251244,0.001849807,0.0001182651,0.06473205],"genre_scores_gemma":[0.9902537,0.001934829,0.0001052157,0.0006213954,0.0002050939,0.000006635057,0.0001890279,0.00001708613,0.006666943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03161053,"threshold_uncertainty_score":0.1057477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006961231623580149,"score_gpt":0.2414198906680129,"score_spread":0.2344586590444328,"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."}}