{"id":"W4379746481","doi":"10.22329/celt.v14i1.7141","title":"Multicontextual Teaching and Learning in Postsecondary Classrooms","year":2023,"lang":"en","type":"article","venue":"Collected Essays on Learning and Teaching","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Leverage (statistics); Context (archaeology); Mathematics education; Storytelling; Teaching method; Pedagogy; Diversity (politics); Computer science; Psychology; Sociology; Narrative","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":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004314629,0.0001462937,0.0002040535,0.0003676529,0.003782321,0.0002765496,0.00009682226,0.000136021,0.00007931561],"category_scores_gemma":[0.008793793,0.0001535055,0.00002718861,0.0002750449,0.0001445349,0.0001430556,0.00007178646,0.002841554,0.00003177278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187621,"about_ca_system_score_gemma":0.0001487745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008077226,"about_ca_topic_score_gemma":0.0003209631,"domain_scores_codex":[0.996456,0.002220655,0.0002336815,0.0003534507,0.0002796949,0.0004564813],"domain_scores_gemma":[0.9975501,0.002130131,0.00005816228,0.00005913504,0.00003187221,0.0001706261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005171217,0.0001407887,0.08480857,0.00005282169,0.00003603552,0.00004061315,0.3467072,0.0002335967,0.0003316112,0.1361657,0.0008725231,0.4305588],"study_design_scores_gemma":[0.002369953,0.0003897822,0.1363194,0.0009246361,0.0000269318,0.00001241213,0.3556179,0.01078103,0.00001250759,0.006720192,0.4857738,0.001051392],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772202,0.00008133073,0.00006884539,0.003766157,0.0001882122,0.0001412887,4.443068e-7,0.0004782759,0.1180552],"genre_scores_gemma":[0.9728134,0.00008451992,0.000685672,0.0003428348,0.00009322502,0.00001767701,0.0000117728,0.00002160245,0.02592932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4849013,"threshold_uncertainty_score":0.9995555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876022994940584,"score_gpt":0.3227530085120985,"score_spread":0.3039927785626927,"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."}}