{"id":"W4240617613","doi":"10.24908/ijesjp.v4i1.5992","title":"Why Don’t More American Indians Become Engineers in South Dakota?","year":2015,"lang":"en","type":"article","venue":"International Journal of Engineering Social Justice and Peace","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Poverty; Diversity (politics); Engineering education; Value (mathematics); Native american; African american; Indian country; Cultural diversity; Underrepresented Minority; Political science; Sociology; Medical education; Law; Medicine; Anthropology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001774979,0.000183083,0.0001586491,0.0005314709,0.008675068,0.003344669,0.0006124945,0.000862061,0.003425984],"category_scores_gemma":[0.003029093,0.0002084356,0.0001778162,0.0007832507,0.003188928,0.001873539,0.001880424,0.002508999,0.0005338602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002516255,"about_ca_system_score_gemma":0.006306509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1290161,"about_ca_topic_score_gemma":0.3155232,"domain_scores_codex":[0.9987015,0.0004115785,0.0000438361,0.0001559444,0.0002240058,0.0004631422],"domain_scores_gemma":[0.9964161,0.0005060748,0.0005258001,0.00009851324,0.000736815,0.001716645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001059826,0.0003299282,0.3231386,0.0004392274,0.00006430339,0.001840763,0.5713049,0.00008671315,0.005780215,0.005488021,0.02057774,0.07084361],"study_design_scores_gemma":[0.000005094238,0.00005257838,0.1388553,0.0001555922,0.00003173655,0.0003335868,0.8305535,0.00004867866,0.0003566717,0.0004005417,0.02917818,0.00002849989],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613954,0.0005474478,0.0001114957,0.02585716,0.0001755892,0.0000168786,0.00004606345,0.000008375077,0.01184154],"genre_scores_gemma":[0.9856122,0.001060882,0.000131333,0.008221655,0.00004341565,0.00001583391,0.00002762872,0.00000820391,0.0048788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1290161,"threshold_uncertainty_score":0.2565302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176254986988022,"score_gpt":0.2920134952547431,"score_spread":0.2743879965559409,"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."}}