{"id":"W7053073091","doi":"","title":"Teachers’ storytelling production for teaching science with sensitivity to cultural diversity","year":2023,"lang":"en","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Universidade do Minho; International Council for Canadian Studies","keywords":"Storytelling; Diversity (politics); Science education; Knowledge production; Cultural diversity; Sociology of scientific knowledge; Cultural knowledge; Cultural sensitivity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006426958,0.0001385004,0.0001357891,0.001667552,0.003530477,0.0001221156,0.0004347143,0.00008121297,0.000001791215],"category_scores_gemma":[0.002502838,0.0001131713,0.00002408011,0.004296664,0.001879797,0.0006164698,0.0003726117,0.0003893967,0.000007377091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003720243,"about_ca_system_score_gemma":0.0003208469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004334206,"about_ca_topic_score_gemma":0.00001632426,"domain_scores_codex":[0.9973082,0.00001750283,0.0001671602,0.0006695106,0.0009758979,0.0008617372],"domain_scores_gemma":[0.9984083,0.000181075,0.00002942919,0.0001898637,0.001028367,0.0001630022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001090652,0.0002154107,0.003858341,0.0002937205,0.00006119585,0.000005834938,0.004353719,0.002050463,0.6493793,0.0997053,0.02340645,0.2165612],"study_design_scores_gemma":[0.002336396,0.004642084,0.01365843,0.0004699624,0.00007783323,0.0001666898,0.01889632,0.6037597,0.1843113,0.05437219,0.1143383,0.002970816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845843,0.0001308712,0.007482415,0.002185198,0.0001561047,0.001974666,0.00006620766,0.0006708067,0.00274939],"genre_scores_gemma":[0.9920124,0.00005910923,0.005669198,0.00001041629,0.00007962108,0.0004558664,0.00002051035,0.00001498892,0.001677936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6017092,"threshold_uncertainty_score":0.9977668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06981483884353143,"score_gpt":0.3483898449242643,"score_spread":0.2785750060807329,"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."}}