{"id":"W2886582624","doi":"10.24908/pceea.v0i0.7359","title":"IMAGES OF THE FUTURE: GENDER AND PORTRAYALS OF FACULTY AND INDUSTRY MEMBERS IN CANADIAN ENGINEERING SCHOOL RECRUITMENT MATERIALS","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Representation (politics); Suspect; Population; Psychology; Public relations; Medical education; Sociology; Political science; Medicine; History; Law; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002262719,0.0003935338,0.000198318,0.002767756,0.006425895,0.00358671,0.0006926961,0.0007794378,0.005290837],"category_scores_gemma":[0.006319064,0.0002551037,0.0002175573,0.001493648,0.003394373,0.001131256,0.00222072,0.0009809728,0.0003668512],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0106522,"about_ca_system_score_gemma":0.008135872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7424839,"about_ca_topic_score_gemma":0.8888999,"domain_scores_codex":[0.9983845,0.0005274159,0.00003579259,0.00009703739,0.0005441945,0.0004111678],"domain_scores_gemma":[0.9972042,0.0009566437,0.000380393,0.00009528445,0.0006288396,0.0007346945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002038507,0.00005887103,0.07017226,0.0001412519,0.00001080285,0.0007004812,0.8825883,0.0001136322,0.004128737,0.001877921,0.005226865,0.03477709],"study_design_scores_gemma":[0.000005616117,0.00006234586,0.1604125,0.0001951681,0.00001871737,0.0004791088,0.7928192,0.0004254837,0.001090718,0.0001862262,0.04423973,0.00006527282],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833605,0.000169367,0.0003619882,0.0008782216,0.0000311984,0.00002939261,0.0002016974,0.00001576249,0.0149518],"genre_scores_gemma":[0.9944588,0.000236459,0.0003939335,0.0001942372,0.00001210506,0.00001679901,0.0001160752,0.00001660162,0.004555022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9935741,"threshold_uncertainty_score":0.5180654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108828499400385,"score_gpt":0.2587323063573985,"score_spread":0.2376440213633946,"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."}}