{"id":"W4388228551","doi":"10.1016/j.iree.2023.100278","title":"Using Netflix Original Series to teach economics: A diversity and inclusion approach","year":2023,"lang":"en","type":"article","venue":"International Review of Economics Education","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Diversity (politics); Inclusion (mineral); Series (stratigraphy); Economics education; Cultural diversity; Ethnic group; Family and consumer science; Mathematics education; Computer science; Sociology; Social science; Pedagogy; Anthropology; Vocational education; Psychology","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":[0.008828204,0.0007938225,0.0004949193,0.006760572,0.0009634055,0.004237629,0.001717313,0.001351267,0.07557894],"category_scores_gemma":[0.02677073,0.0003114901,0.000566725,0.003952525,0.001126544,0.005933364,0.005604511,0.00267076,0.01635252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230687,"about_ca_system_score_gemma":0.003455846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645283,"about_ca_topic_score_gemma":0.00438746,"domain_scores_codex":[0.9958907,0.001117835,0.0001906266,0.0002918194,0.002186312,0.0003226233],"domain_scores_gemma":[0.9736897,0.01434959,0.001495564,0.002149779,0.005369948,0.002945257],"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":[0.0001081826,0.0002267831,0.001556356,0.001349146,0.00003194154,0.0001241796,0.0006900429,0.001164218,0.001501478,0.05198859,0.3081594,0.6330998],"study_design_scores_gemma":[0.00006052457,0.0001397983,0.006082051,0.001631996,0.00003481658,0.0002871692,0.0004524823,0.001971254,0.003428368,0.04035846,0.9455163,0.00003684227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02671941,0.01378034,0.1730676,0.1040567,0.01129594,0.0007879749,0.007485082,0.01091104,0.6518959],"genre_scores_gemma":[0.17369,0.02438572,0.2601397,0.02502388,0.01012663,0.002794308,0.009859269,0.006772626,0.4872078],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07557894,"threshold_uncertainty_score":0.2528368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095728703910372,"score_gpt":0.4358968906492702,"score_spread":0.326324020258233,"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."}}