{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003549978,0.0003132841,0.0002382007,0.0005984937,0.0001268996,0.0002681412,0.000409949,0.000189221,0.00007160705],"category_scores_gemma":[0.0006820358,0.0003503973,0.00008876169,0.0005738317,0.00002280195,0.0005265742,0.00008783575,0.0003263664,0.00000841333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559773,"about_ca_system_score_gemma":0.0001445245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008149527,"about_ca_topic_score_gemma":0.0015366,"domain_scores_codex":[0.9984338,0.000004001977,0.0004084797,0.0002653423,0.0003936155,0.0004947544],"domain_scores_gemma":[0.9990155,0.00004083404,0.0001484577,0.0001480781,0.0003692698,0.0002778805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001352138,0.0002218259,0.2482541,0.006977645,0.002628147,0.000005768228,0.2951305,0.1045901,0.1942828,0.01738254,0.1188418,0.01167126],"study_design_scores_gemma":[0.002032283,0.00009905646,0.3991266,0.005034699,0.0004180847,0.00008007131,0.0516638,0.320701,0.08058231,0.00007147226,0.1351008,0.005089852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877053,0.0005636691,0.00009933851,0.0003916352,0.006460657,0.0002800519,0.00001978405,0.0005532087,0.003926326],"genre_scores_gemma":[0.9957885,0.0000621362,0.001758615,0.00004294913,0.0008746146,0.00007692727,0.00001255248,0.00010271,0.001280954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2434667,"threshold_uncertainty_score":0.9998948,"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."}}