{"id":"W2263518959","doi":"10.22004/ag.econ.274676","title":"Affirmative Action and Human Capital Investment: Theory and Evidence from a Randomized Field Experiment","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"School Choice and Performance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Human capital; Investment (military); Disadvantaged; Affirmative action; Competition (biology); Incentive; Order (exchange); Affect (linguistics); Economics; Labour economics; Demographic economics; Microeconomics; Political science; Psychology; Finance; Economic growth","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":[0.03222729,0.0009861102,0.001578226,0.0004890579,0.001391238,0.002350044,0.002076671,0.00272644,0.01703807],"category_scores_gemma":[0.05311444,0.0006777854,0.0007983745,0.000558757,0.003922915,0.001925957,0.001229762,0.002605425,0.001552789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407864,"about_ca_system_score_gemma":0.001808354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002277321,"about_ca_topic_score_gemma":0.001305988,"domain_scores_codex":[0.983144,0.0122218,0.0005048529,0.002067261,0.001280597,0.0007814552],"domain_scores_gemma":[0.8376959,0.1252028,0.01911927,0.01285681,0.00183853,0.003286628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3011024,0.2271494,0.1462483,0.002797673,0.003662149,0.0008092317,0.00344745,0.01924037,0.01767326,0.1177753,0.01591098,0.1441834],"study_design_scores_gemma":[0.1573033,0.1648822,0.1924305,0.0007447521,0.004641752,0.0006423946,0.001886835,0.1055073,0.01819187,0.3239344,0.02925995,0.0005747722],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668704,0.0004588636,0.01500511,0.001542681,0.00039915,0.002910214,0.0007423286,0.0001020584,0.01196927],"genre_scores_gemma":[0.9814847,0.0002422024,0.008937323,0.001069377,0.0001690436,0.003876092,0.0002329273,0.00001892811,0.003969447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03222729,"threshold_uncertainty_score":0.1704363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06366300707313499,"score_gpt":0.3382003064441806,"score_spread":0.2745372993710457,"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."}}