{"id":"W2622880228","doi":"10.24908/pceea.v0i0.9525","title":"SUPPORTING ENGINEERING STUDENT LEADERS TO INFLUENCE ORGANIZATIONAL CULTURE THROUGH A CO-CURRICULAR LEADERSHIP PROGRAM","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Experiential learning; Leverage (statistics); Leadership style; Shared leadership; Leadership studies; Organizational culture; Educational leadership; Government (linguistics); Pedagogy; Psychology; Public relations; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001481391,0.000309325,0.0001536545,0.0004198352,0.001573768,0.001395034,0.000928142,0.0003509456,0.006954045],"category_scores_gemma":[0.002696898,0.0001410955,0.0001799551,0.0002079372,0.000512014,0.0004582589,0.003056087,0.00113762,0.001224485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277188,"about_ca_system_score_gemma":0.002921186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005884974,"about_ca_topic_score_gemma":0.002694292,"domain_scores_codex":[0.998973,0.0004777592,0.00002487731,0.00009911779,0.0001943864,0.0002309195],"domain_scores_gemma":[0.9952654,0.000505154,0.0002769772,0.0002144897,0.0004365781,0.00330138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004249036,0.1149014,0.0375504,0.0003017642,0.00004266319,0.000543146,0.01172054,0.001969447,0.02497852,0.002364451,0.02483407,0.7803687],"study_design_scores_gemma":[0.002422405,0.04998619,0.3902544,0.0009183984,0.0003224554,0.002323828,0.05527527,0.03870321,0.1225432,0.01160989,0.3253683,0.0002724061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702959,0.00006515636,0.007476818,0.001547508,0.0001529383,0.0004254602,0.00003898925,0.0003356745,0.01966162],"genre_scores_gemma":[0.9636012,0.0001121733,0.02428578,0.0004406357,0.00006153023,0.0003786166,0.00008669353,0.00003337676,0.01100001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006954045,"threshold_uncertainty_score":0.02326357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009723288800657088,"score_gpt":0.2626364753879565,"score_spread":0.2529131865872994,"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."}}