{"id":"W4405674815","doi":"10.24908/pceea.2024.18560","title":"Competency mapping for equity, diversity, inclusion, and indigeneity in engineering undergraduate curricula","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inclusion (mineral); Curriculum; Equity (law); Diversity (politics); Engineering ethics; Sociology; Pedagogy; Political science; Engineering; Social science; Anthropology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340005,0.0001016752,0.0001262017,0.0003619065,0.000721853,0.0001682713,0.0002819567,0.0001254631,0.00001055541],"category_scores_gemma":[0.001268686,0.0001083446,0.00006095674,0.0007951054,0.00002916166,0.0002675233,0.0002649389,0.0001716577,0.000001931367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003192662,"about_ca_system_score_gemma":0.001178651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0389717,"about_ca_topic_score_gemma":0.05084831,"domain_scores_codex":[0.9989436,0.00001094997,0.0002154793,0.0001977214,0.0003185939,0.0003136735],"domain_scores_gemma":[0.9992208,0.0001299343,0.00009588896,0.00005229779,0.0003081253,0.0001928772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001053072,0.00006521861,0.7129426,0.0008312826,0.00004816542,8.171149e-8,0.04902283,0.0002851085,0.0003573909,0.2263779,0.007920844,0.002147469],"study_design_scores_gemma":[0.0002606731,0.00001569434,0.8402422,0.0008323691,0.00006286467,0.00000121043,0.002363749,0.003456053,0.0001829236,0.02751773,0.1245222,0.0005423626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512706,0.0004064477,0.000108186,0.0406989,0.003158922,0.0008719577,0.0000287636,0.0001502123,0.003305985],"genre_scores_gemma":[0.9981105,0.0000336074,0.0007794489,0.0001263124,0.0001754917,0.00004039672,0.000004679755,0.00001360403,0.0007159971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1988602,"threshold_uncertainty_score":0.9674278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979523504760092,"score_gpt":0.2937050329736849,"score_spread":0.2739097979260839,"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."}}