{"id":"W2955224195","doi":"10.5070/t30039676","title":"“The Exchange Game”: An Engaging Classroom Exercise for Teaching and Learning About Reciprocity and Altruism","year":2019,"lang":"en","type":"article","venue":"Teaching and Learning Anthropology","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Altruism (biology); Reciprocity (cultural anthropology); Debriefing; Strong reciprocity; Psychology; Core (optical fiber); Sociology; Social psychology; Non-cooperative game; Game theory; Computer science; Economics; Microeconomics","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":[0.00276964,0.001209977,0.0006034919,0.0005045917,0.001533076,0.001702278,0.001743067,0.002271349,0.0107841],"category_scores_gemma":[0.006056331,0.0003636253,0.0005712172,0.0002477641,0.001882274,0.002771801,0.002852913,0.002983026,0.002813742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000556477,"about_ca_system_score_gemma":0.0009441678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000471142,"about_ca_topic_score_gemma":0.001284125,"domain_scores_codex":[0.9980743,0.001260387,0.00006674081,0.0001907957,0.0001979826,0.000209795],"domain_scores_gemma":[0.9975496,0.001558556,0.0001274947,0.0001853996,0.0001098348,0.0004690609],"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":[0.001658481,0.01103341,0.004552704,0.001804938,0.0001134865,0.002497329,0.05110676,0.01005576,0.05782431,0.2584202,0.1627722,0.4381604],"study_design_scores_gemma":[0.0007023414,0.002336659,0.00657418,0.0007358383,0.000061685,0.0024069,0.009732325,0.02101142,0.01908508,0.1052439,0.8318679,0.0002418797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2306225,0.0008419613,0.5395209,0.009686942,0.002016632,0.003556475,0.0004778966,0.003827224,0.2094495],"genre_scores_gemma":[0.4594882,0.001063578,0.481555,0.003160693,0.000405819,0.003694425,0.0004935754,0.0004085212,0.04973018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0107841,"threshold_uncertainty_score":0.03607637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601451024590459,"score_gpt":0.3570739920979309,"score_spread":0.3310594818520264,"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."}}