{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001959808,0.0002286305,0.0003142144,0.001004897,0.002087933,0.001146156,0.001463428,0.0003947371,0.002641046],"category_scores_gemma":[0.01064999,0.00009660988,0.0004837142,0.001581233,0.001470781,0.0007036763,0.002648382,0.000792527,0.0001420268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01391591,"about_ca_system_score_gemma":0.01552811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.802845,"about_ca_topic_score_gemma":0.9160779,"domain_scores_codex":[0.996627,0.0006824908,0.0000668643,0.0001853705,0.0007835489,0.001654772],"domain_scores_gemma":[0.9943857,0.001008649,0.00113961,0.0002572519,0.001904385,0.00130443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00065554,0.0008417349,0.885159,0.0001342687,0.0002801477,0.0002404544,0.002247375,0.005311941,0.000738912,0.005294005,0.001995779,0.09710082],"study_design_scores_gemma":[0.00001749355,0.0002453974,0.9909642,0.00004938933,0.00005592484,0.00005320105,0.003734753,0.00178696,0.0002630612,0.00106202,0.001754259,0.00001336957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942058,0.0002964206,0.0002525894,0.0009765002,0.00001106304,0.00003397962,0.0005689092,0.000006743404,0.003648142],"genre_scores_gemma":[0.9989231,0.0001347008,0.0001245582,0.00007958626,0.000007417784,0.00001237022,0.0001879893,0.000001774854,0.0005284269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.802845,"threshold_uncertainty_score":0.3966321,"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."}}