{"id":"W4381189736","doi":"10.5206/cjsotlrcacea.2023.1.11023","title":"‘The Tool of Our Trade’: Defining and Teaching Empathy in College Programs","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal for the Scholarship of Teaching and Learning","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Georgian College","funders":"","keywords":"Empathy; Curriculum; Experiential learning; Psychology; Perspective (graphical); Pedagogy; Workforce; Variety (cybernetics); Perspective-taking; Medical education; Mathematics education; Social psychology; Political science; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.02915362,0.00007099296,0.0001102013,0.0001052205,0.01062168,0.0003908626,0.0002867478,0.00004789122,0.000002785156],"category_scores_gemma":[0.00487796,0.00004248782,0.00005248403,0.0001300709,0.0001327409,0.0002129732,0.00001839439,0.002271923,7.175307e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007422372,"about_ca_system_score_gemma":0.0003776188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01703889,"about_ca_topic_score_gemma":0.04464603,"domain_scores_codex":[0.9971256,0.002003253,0.0002420357,0.00008616431,0.0002082518,0.0003347576],"domain_scores_gemma":[0.9980271,0.001524474,0.0001912305,0.00008761654,0.00002873121,0.0001408236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003375041,0.0000156753,0.1116975,0.00003374699,0.00009401194,0.000005870508,0.3196103,0.0009540125,0.00003218439,0.1431444,0.001063363,0.4233152],"study_design_scores_gemma":[0.0003766392,0.0001168924,0.1203781,0.0002484159,0.00005327853,0.00002412931,0.5542262,0.0003258916,0.000002377967,0.004769437,0.3193431,0.0001355455],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703377,0.0008710125,0.00001336144,0.02720328,0.0003768059,0.0002076453,0.000002636285,0.00001057658,0.0009770142],"genre_scores_gemma":[0.9981569,0.0001034297,0.0002070572,0.00006640045,0.0001252311,0.00001018206,8.732637e-7,0.00001063859,0.001319305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4231797,"threshold_uncertainty_score":0.9996907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07641262071493138,"score_gpt":0.369203411508219,"score_spread":0.2927907907932876,"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."}}