{"id":"W4403748765","doi":"10.24908/pceea.2023.17154","title":"Sociotechnical Thinking as a Contextualizing, Transcending, and Cross-Connecting Concept for Engineering Learning","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sociotechnical system; Computer science; Epistemology; Sociology; Mathematics education; Knowledge management; Engineering; Psychology; Philosophy","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":[0.01430272,0.001143873,0.0007456278,0.005780008,0.007912919,0.01708287,0.002100239,0.004159395,0.004358227],"category_scores_gemma":[0.008682792,0.0004888764,0.001017405,0.003782384,0.0894824,0.01804981,0.01095024,0.007613716,0.0007357124],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008565236,"about_ca_system_score_gemma":0.01291921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004790318,"about_ca_topic_score_gemma":0.007294261,"domain_scores_codex":[0.9876992,0.00896701,0.0003882696,0.0007272421,0.001603552,0.0006147727],"domain_scores_gemma":[0.9892576,0.006908782,0.0006781708,0.001253753,0.0009643827,0.0009371797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006463958,0.00002281123,0.0005227696,0.0001253297,0.000005462772,0.0001845096,0.05589348,0.000342245,0.0003960606,0.9284027,0.0007564466,0.01334171],"study_design_scores_gemma":[0.000008062489,0.0000255704,0.0006011904,0.0006168584,0.00001033197,0.0003661392,0.03972602,0.0007817858,0.0003443309,0.8759571,0.08152828,0.00003432948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07068993,0.01084268,0.4824938,0.07545632,0.001329162,0.0005363149,0.00008421014,0.0004056692,0.3581618],"genre_scores_gemma":[0.7990763,0.006015578,0.1790872,0.003701597,0.0003297483,0.0006527368,0.00007844857,0.0001461846,0.01091207],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9914348,"threshold_uncertainty_score":0.07564098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004310512567255731,"score_gpt":0.2315044079377608,"score_spread":0.227193895370505,"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."}}