{"id":"W3121353537","doi":"10.1016/j.jdeveco.2005.06.006","title":"Learning the master's trade: Apprenticeship and human capital in Ghana","year":2006,"lang":"en","type":"article","venue":"TSpace","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Connaught Fund","keywords":"Apprenticeship; Remuneration; Productivity; Human capital; Labour economics; Business; Institution; Economics; Finance; Economic growth; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007471179,0.0001472779,0.0002434071,0.0004970621,0.0009326848,0.001325027,0.0004511663,0.0006002815,0.01134107],"category_scores_gemma":[0.002724049,0.0001272465,0.0001046284,0.0006420457,0.0009309705,0.001749311,0.001041598,0.0008125253,0.0009539325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164046,"about_ca_system_score_gemma":0.001067349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018986,"about_ca_topic_score_gemma":0.04649587,"domain_scores_codex":[0.9997084,0.00008283502,0.00001045969,0.00002789449,0.0000311303,0.0001393283],"domain_scores_gemma":[0.9972256,0.0006702002,0.00071849,0.00007550517,0.0001012085,0.001208998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003302328,0.0007591266,0.8210548,0.0001098937,0.00002090992,0.001512026,0.04031825,0.001068395,0.000831139,0.01686058,0.008349541,0.1087852],"study_design_scores_gemma":[0.00003027784,0.0003188902,0.9243714,0.0002067454,0.00001477625,0.0003676437,0.04381784,0.002025843,0.0004360958,0.01043617,0.01795998,0.0000144298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949353,0.0002493862,0.00004787186,0.001457077,0.000009364291,0.000004882054,0.00005870157,0.000001883629,0.003235403],"genre_scores_gemma":[0.9953317,0.000275996,0.00004741942,0.00009206224,0.00001422077,0.000003712359,0.00004558855,0.000001873231,0.004187364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02018986,"threshold_uncertainty_score":0.04014468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031125257811813,"score_gpt":0.2732889920855455,"score_spread":0.2329777395074274,"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."}}