{"id":"W3001518674","doi":"10.24908/pceea.vi0.13734","title":"A SNAPSHOT OF THE CANADIAN ENGINEERING EDUCATION SYSTEM: REFLECTIONS FROM AN EMERGING SCHOLAR TRYING TO SUPPORT NATIONAL CURRICULUM CHANGE","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Technology Assessment and Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Curriculum; Terminology; Scholarship; Thematic analysis; Engineering ethics; Engineering education; Work (physics); Political science; Engineering; Public relations; Sociology; Qualitative research; Pedagogy; Engineering management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004855666,0.0002101036,0.0002044689,0.0008446846,0.0002566946,0.0001158544,0.0005447224,0.0002223141,0.00005533031],"category_scores_gemma":[0.0003111845,0.0002137046,0.00009373003,0.001127714,0.000008495009,0.0005250671,0.00004076429,0.0004178346,0.00001396545],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006317691,"about_ca_system_score_gemma":0.001124472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1210706,"about_ca_topic_score_gemma":0.238626,"domain_scores_codex":[0.9985429,0.000008181416,0.0003690474,0.0002409486,0.0004425224,0.0003964071],"domain_scores_gemma":[0.9987223,0.00001802809,0.0002120872,0.0002081154,0.0005815671,0.0002579322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000588919,0.0003834521,0.5582614,0.003493039,0.00130097,3.598283e-7,0.01442378,0.0820608,0.06074005,0.1862743,0.08618148,0.006874496],"study_design_scores_gemma":[0.0005187817,0.00007394356,0.6997983,0.001529286,0.000294596,0.000009131871,0.005149422,0.06015036,0.008486404,0.0002949492,0.2224,0.001294846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787339,0.00008830016,0.00003126266,0.003694908,0.006948657,0.001314503,0.00009322791,0.0002664044,0.008828843],"genre_scores_gemma":[0.997579,0.000004002269,0.001282525,0.0002118594,0.0002673643,0.000261525,0.00005440048,0.00005105624,0.0002882801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1859794,"threshold_uncertainty_score":0.9974969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328370876968111,"score_gpt":0.2540963338260552,"score_spread":0.2408126250563741,"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."}}