{"id":"W2141920159","doi":"10.1108/jarhe-07-2012-0019","title":"Facilitating embodied learning in business ethics education: the use of relational sculpting","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Research in Higher Education","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Embodied cognition; Originality; Engineering ethics; Context (archaeology); Relevance (law); Business ethics; Knowledge management; Value (mathematics); Curriculum; Stakeholder; Sociology; Psychology; Pedagogy; Computer science; Qualitative research; Engineering; Political science; Public relations; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009327374,0.000665299,0.0003561538,0.001601902,0.001960449,0.0054587,0.001608445,0.001479874,0.006491165],"category_scores_gemma":[0.01864262,0.0002831849,0.0007464215,0.0008807359,0.01171097,0.005310356,0.01147243,0.002516341,0.001022061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428151,"about_ca_system_score_gemma":0.002508786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003384802,"about_ca_topic_score_gemma":0.000832768,"domain_scores_codex":[0.9872096,0.01055015,0.0002144431,0.0005030978,0.001130621,0.000392112],"domain_scores_gemma":[0.979817,0.01624419,0.0009235148,0.001735432,0.000429273,0.0008505967],"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":[0.0001403606,0.0006447221,0.00301519,0.002996525,0.00004758454,0.00149274,0.2899399,0.002194759,0.0144889,0.2139089,0.005241359,0.465889],"study_design_scores_gemma":[0.0002070687,0.0009274926,0.008446277,0.006267739,0.0001160029,0.006244702,0.1765014,0.009206326,0.01745828,0.3114058,0.4630122,0.0002067816],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2260017,0.004042296,0.5118291,0.01266735,0.0005102677,0.001243384,0.00007110497,0.0007031072,0.2429317],"genre_scores_gemma":[0.7496673,0.002883235,0.2318382,0.001709171,0.0001188687,0.0009766819,0.0000533313,0.0001821345,0.01257106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009327374,"threshold_uncertainty_score":0.04932845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6947401996749731,"score_gpt":0.5364802197985689,"score_spread":0.1582599798764043,"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."}}