{"id":"W3001186159","doi":"10.24908/pceea.vi0.13740","title":"ADDRESSING DIVERSITY AND GENDER ISSUES IN A CORNERSTONE DESIGN COURSE","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cornerstone; Diversity (politics); Demographics; Inclusion (mineral); Gender diversity; Context (archaeology); Equity (law); Focus group; Psychology; Gender equity; Qualitative research; Medical education; Social psychology; Gender studies; Sociology; Medicine; Political science; Social science; Management; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006797973,0.0006443132,0.0005252335,0.0004855662,0.00428357,0.003025088,0.001796445,0.001686147,0.01129778],"category_scores_gemma":[0.009433326,0.0004065745,0.000412955,0.0004452764,0.001732729,0.001493338,0.004047545,0.002400206,0.001676364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002858459,"about_ca_system_score_gemma":0.005526897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747809,"about_ca_topic_score_gemma":0.008100961,"domain_scores_codex":[0.9972304,0.00104504,0.00009166366,0.0004427535,0.0006522477,0.0005378738],"domain_scores_gemma":[0.9924415,0.002567527,0.0004377341,0.0005852353,0.001053175,0.002914819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008800634,0.01214536,0.04657405,0.00111466,0.0000401025,0.002185271,0.08979346,0.001669987,0.03918614,0.008456804,0.05352117,0.744433],"study_design_scores_gemma":[0.0005675615,0.01604217,0.1686494,0.002146971,0.0001304092,0.004272474,0.1040087,0.005886154,0.06383557,0.03390481,0.6001808,0.0003750021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9389821,0.0004366711,0.01544079,0.006346046,0.0006102812,0.0007549931,0.0001096331,0.0004029253,0.03691658],"genre_scores_gemma":[0.9131419,0.0004473277,0.05243151,0.003026508,0.0001422999,0.0006403996,0.0001620212,0.00008242784,0.02992561],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01129778,"threshold_uncertainty_score":0.03779489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132073985690951,"score_gpt":0.2271271020275803,"score_spread":0.2058063621706708,"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."}}