{"id":"W1904513589","doi":"10.1007/s11191-005-0780-y","title":"Representing Science Through Historical Drama","year":2005,"lang":"en","type":"article","venue":"Science & Education","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Victoria","funders":"","keywords":"Drama; Narrative; Variety (cybernetics); Conversation; The arts; Curriculum; Representation (politics); Sociology; Literature; Visual arts; History; Pedagogy; Linguistics; Art; Computer science; Communication; Philosophy; Political science; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003619476,0.0008184957,0.0002740899,0.002634008,0.009865023,0.01321666,0.001307023,0.002751433,0.01634798],"category_scores_gemma":[0.006844958,0.0003439868,0.0002891735,0.001568828,0.02931207,0.01326721,0.005910489,0.004936444,0.00153186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004950715,"about_ca_system_score_gemma":0.002028219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888628,"about_ca_topic_score_gemma":0.003952637,"domain_scores_codex":[0.9975464,0.001756254,0.00003569079,0.0002008776,0.0002375535,0.0002232141],"domain_scores_gemma":[0.9965834,0.002089715,0.0002465612,0.0004683803,0.0002759491,0.0003359999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009748659,0.000008292942,0.0001138116,0.00002988491,0.000003694726,0.00007163912,0.04138603,0.0001324495,0.0001364121,0.9462474,0.006881102,0.004979454],"study_design_scores_gemma":[0.00001187015,0.00002086432,0.0002284782,0.0001814873,0.00001446007,0.000213635,0.04440754,0.0004935557,0.0006956104,0.3616554,0.59206,0.00001705012],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03134214,0.004584601,0.02681052,0.03451072,0.001930657,0.00003230516,0.00009467727,0.0002259849,0.9004684],"genre_scores_gemma":[0.9224567,0.002061484,0.005976669,0.002084749,0.0006722586,0.00005552341,0.00007713457,0.0002236813,0.06639189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.990135,"threshold_uncertainty_score":0.05468941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194103812926975,"score_gpt":0.4011473652904417,"score_spread":0.359206327161172,"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."}}