{"id":"W3210897090","doi":"10.55016/ojs/pplt.v4y2020.68645","title":"Capturing Experiential Learning in a Program by Curriculum Mapping","year":2020,"lang":"en","type":"article","venue":"Papers on postsecondary learning and teaching.","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Experiential learning; Curriculum; Experiential education; Psychology; Mathematics education; Computer science; Pedagogy","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001391114,0.0002298163,0.0002639304,0.000118517,0.002204154,0.0002839738,0.0002648547,0.0001299965,0.0003396692],"category_scores_gemma":[0.0007233584,0.0002478124,0.00007847619,0.0001853624,0.0001260706,0.0001724993,0.0001440999,0.003169985,0.00003492909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008323573,"about_ca_system_score_gemma":0.00005880485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546364,"about_ca_topic_score_gemma":0.0001879586,"domain_scores_codex":[0.9963614,0.002013206,0.0002661362,0.0004436727,0.0003623092,0.0005532862],"domain_scores_gemma":[0.9992033,0.0002589795,0.0001278137,0.000103208,0.00002277517,0.0002839146],"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":[0.00006049331,0.0003034033,0.08885513,0.00008016997,0.00005825234,0.00003602832,0.4105591,0.0004588249,0.001083155,0.002063988,0.0004210535,0.4960205],"study_design_scores_gemma":[0.0006058565,0.0003831221,0.002050144,0.0001111229,0.000008217535,0.000001512557,0.1987903,0.0007999852,0.0000169814,0.000007035883,0.7969042,0.0003215009],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565428,0.0004601378,0.00001373783,0.003388665,0.0001063989,0.0002536192,8.937771e-7,0.0006225489,0.1386112],"genre_scores_gemma":[0.997066,0.0001171784,0.0002903015,0.001005534,0.0001490683,0.00004306352,0.00003108182,0.00003397066,0.001263805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7964832,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414430403708633,"score_gpt":0.2816153031717272,"score_spread":0.2674709991346409,"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."}}