{"id":"W4383749683","doi":"10.1109/icse-seet58685.2023.00029","title":"Leveraging Diversity in Software Engineering Education through Community Engaged Learning and a Supportive Network","year":2023,"lang":"en","type":"article","venue":"","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Experiential learning; Diversity (politics); Competence (human resources); Autonomy; Engineering education; Sense of community; Cultural diversity; Knowledge management; Computer science; Engineering; Pedagogy; Sociology; Psychology; Engineering management; Political science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005235326,0.00006001668,0.00007864678,0.00008689889,0.003899938,0.00006751574,0.00009173826,0.00004548377,0.000196334],"category_scores_gemma":[0.007119797,0.0000679685,0.00001266252,0.0009199516,0.0000616143,0.0004278674,0.0001474141,0.001409461,0.00002484195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008519341,"about_ca_system_score_gemma":0.0001794423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008987871,"about_ca_topic_score_gemma":0.0007576286,"domain_scores_codex":[0.9973065,0.002142876,0.00009965861,0.0001004522,0.0001320775,0.0002184576],"domain_scores_gemma":[0.9975955,0.002165733,0.00007075146,0.00005132737,0.00008249367,0.00003411658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000003378408,0.00002681753,0.5442958,0.00001369963,0.00000629224,5.806151e-7,0.4467097,0.000398431,0.000004892313,0.004000486,0.001277358,0.003262572],"study_design_scores_gemma":[0.00008743188,0.00001105361,0.4554202,0.00003591689,0.000003535494,2.813358e-7,0.4795493,0.000104928,0.000004973877,0.0004937866,0.06418278,0.0001058335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842106,0.00002806087,0.0006511821,0.00133129,0.0003881503,0.0001097761,1.422763e-7,0.0002461316,0.01303467],"genre_scores_gemma":[0.9943677,0.00005736619,0.001554603,0.0002135971,0.0001205499,0.000007180376,0.00001092201,0.000005633918,0.003662501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08887563,"threshold_uncertainty_score":0.9976113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1315851032092284,"score_gpt":0.3911252820592451,"score_spread":0.2595401788500167,"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."}}