{"id":"W2789787496","doi":"","title":"CHICKEN DANCE ANYONE? A QUICK EXPERIENTIAL EXERCISE FOR TEACHING EXPECTANCY THEORY","year":2018,"lang":"en","type":"article","venue":"Developments in Business Simulation and Experiential Learning: Proceedings of the Annual ABSEL conference","topic":"Attention Economy in Education and Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Expectancy theory; Dance; Psychology; Experiential learning; Incentive; Debriefing; Social psychology; Attractiveness; Applied psychology; Pedagogy","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":[0.001964201,0.001141063,0.0004149941,0.0007163123,0.0006710939,0.001513856,0.001210914,0.001576694,0.03145822],"category_scores_gemma":[0.006815374,0.0003563428,0.0005769182,0.0004196515,0.001014922,0.002122388,0.002312798,0.003013564,0.006138138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006276584,"about_ca_system_score_gemma":0.0007390185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001874641,"about_ca_topic_score_gemma":0.0006019756,"domain_scores_codex":[0.9991523,0.000440216,0.00003922674,0.00008502538,0.0001698777,0.0001134637],"domain_scores_gemma":[0.9970034,0.002074853,0.0000887665,0.0002962698,0.0001523334,0.0003843212],"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":[0.0009245476,0.01059155,0.002122492,0.00137629,0.00005445647,0.001756676,0.02023614,0.004081486,0.05043492,0.05258281,0.1415998,0.7142389],"study_design_scores_gemma":[0.001178681,0.005514131,0.007905042,0.001291791,0.00006758916,0.003172063,0.009830442,0.01748636,0.03229581,0.1373545,0.7836317,0.0002717108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2072493,0.001318656,0.5711834,0.01478449,0.002217077,0.004868455,0.0008795286,0.008322867,0.1891762],"genre_scores_gemma":[0.3233226,0.001258486,0.6171565,0.00380243,0.0004320904,0.004152419,0.0006620808,0.0007962656,0.04841708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03145822,"threshold_uncertainty_score":0.1052383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854977024525363,"score_gpt":0.2740904558491046,"score_spread":0.255540685603851,"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."}}