{"id":"W118750406","doi":"","title":"Human Capital Externalities and Vertical Labor Mobility in South Africa","year":2000,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Human capital; Economics; Externality; Labour economics; Wage; Productivity; Race (biology); Capital (architecture); Demographic economics; Geography; Economic growth; Sociology","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":[0.0003333455,0.0002105277,0.0002048049,0.000831161,0.0005905809,0.0009301827,0.0001638867,0.0002750047,0.005642229],"category_scores_gemma":[0.001945889,0.0001527306,0.0002236195,0.001614588,0.0007637481,0.0009757227,0.001458744,0.0004944873,0.0001605489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009471744,"about_ca_system_score_gemma":0.0006253708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03509811,"about_ca_topic_score_gemma":0.03257501,"domain_scores_codex":[0.9997559,0.00006006328,0.00001169821,0.00003088233,0.00003442039,0.0001070124],"domain_scores_gemma":[0.9990246,0.0003594648,0.0004203728,0.0000343433,0.00004315226,0.0001180513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001528622,0.000107024,0.8885138,0.00008917955,0.000124853,0.0008947644,0.003506849,0.01916063,0.001407765,0.05922826,0.0009640917,0.0258499],"study_design_scores_gemma":[0.00002473068,0.0000733338,0.9399919,0.000148024,0.0000556589,0.0003150646,0.004471184,0.01889696,0.0006097328,0.02927282,0.006118326,0.00002228719],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99432,0.0003263214,0.0008715133,0.0005783305,0.000004197464,0.000008063901,0.0001240036,0.00000373967,0.003763747],"genre_scores_gemma":[0.9992223,0.0001533682,0.00007546502,0.00001631761,0.000003728168,0.000003790578,0.00003806821,8.549725e-7,0.000486089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03509811,"threshold_uncertainty_score":0.06978762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280488489417188,"score_gpt":0.2223110103079183,"score_spread":0.1995061254137465,"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."}}