{"id":"W2885362565","doi":"10.24908/pceea.v0i0.9483","title":"WHERE LANGUAGE AND ENGINEERING MEET: FOSTERING EMERGING ENGINEERING IDENTITIES AMONG INTERNATIONAL ENGLISH LANGUAGE LEARNERS","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Social connectedness; Feeling; Bridging (networking); English language; Engineering education; League; Pedagogy; Mathematics education; Psychology; Identity (music); Engineering; Computer science; Engineering management; Social psychology","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":[0.00426667,0.0003887702,0.000285862,0.0006176193,0.008547123,0.006753637,0.001352791,0.001066995,0.003462321],"category_scores_gemma":[0.006025569,0.0003095637,0.0002769978,0.0002471106,0.003538174,0.00298488,0.01248066,0.002306321,0.0008643204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226213,"about_ca_system_score_gemma":0.004718971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004286396,"about_ca_topic_score_gemma":0.01189255,"domain_scores_codex":[0.9971935,0.001570589,0.00005199809,0.0002052324,0.0004163532,0.0005624058],"domain_scores_gemma":[0.9961467,0.0006862017,0.0003685793,0.0001553146,0.000385895,0.002257283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006678973,0.001560382,0.03958095,0.00008502515,0.000009771363,0.0009418642,0.8859205,0.00007864163,0.005499719,0.003762912,0.002648367,0.05984504],"study_design_scores_gemma":[0.00001226648,0.0002956126,0.01220468,0.0000979464,0.00001386971,0.0003379568,0.9579006,0.0001861321,0.001988964,0.001118699,0.02581524,0.00002798741],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885401,0.00006817611,0.0007608922,0.001001057,0.00003849083,0.00003639244,0.000004131344,0.00001497343,0.009535693],"genre_scores_gemma":[0.9931224,0.0001275609,0.001916358,0.0003080467,0.000008996989,0.00004723166,0.00001068479,0.00001119076,0.004447537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008547123,"threshold_uncertainty_score":0.02256453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002901673938145538,"score_gpt":0.1913277710732878,"score_spread":0.1884260971351423,"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."}}