{"id":"W3161856924","doi":"10.1257/pandp.20211013","title":"The Distributional Impacts of Active Labor Market Programs for Indigenous Populations","year":2021,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Victoria","funders":"","keywords":"Earnings; Subsidy; Indigenous; Distribution (mathematics); Inequality; Demographic economics; Psychological intervention; Wage inequality; Wage; Labour economics; Economics; Minimum wage; Business; Medicine; Finance; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003587969,0.00005672319,0.00007842303,0.000006862599,0.0008447844,0.00009489156,0.00006750528,0.00004306861,0.00003544122],"category_scores_gemma":[0.000305212,0.00004128554,0.00004722971,0.0001500956,0.0002292387,0.00009226357,0.00002069604,0.00003651856,2.758271e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005979012,"about_ca_system_score_gemma":0.0001327401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004401636,"about_ca_topic_score_gemma":0.001178715,"domain_scores_codex":[0.9993342,0.00001264051,0.0001183156,0.0001274495,0.0001916703,0.0002157809],"domain_scores_gemma":[0.9994983,0.00007089746,0.00006704631,0.00003429713,0.0002540398,0.0000754295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008550537,0.0001531205,0.8518924,0.00008193079,0.0000544956,1.972987e-7,0.02554342,4.583248e-8,0.0006846704,0.0656561,0.001642849,0.05420535],"study_design_scores_gemma":[0.0003215827,0.0001256635,0.8353505,0.00003457931,0.00004187763,9.316216e-7,0.03559395,0.000004019779,0.0005982017,0.01564853,0.1121541,0.0001260852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828538,0.0002393859,0.000001637433,0.003049272,0.00008881214,0.0004441042,0.00005902815,0.00001398166,0.01324998],"genre_scores_gemma":[0.9987287,0.0002875376,0.0001009624,0.0000433982,0.00007678022,0.00006781206,0.00002472711,0.000003756769,0.0006663433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105113,"threshold_uncertainty_score":0.6497484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09771292199802542,"score_gpt":0.3876986641939018,"score_spread":0.2899857421958764,"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."}}