{"id":"W2122607195","doi":"10.1002/tea.20422","title":"Cultural diversity in science education through <i>Novelization</i>: Against the <i>Epicization</i> of science and cultural centralization","year":2011,"lang":"en","type":"article","venue":"Journal of Research in Science Teaching","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Diversity (politics); Sociology; Science education; Unitary state; Cultural diversity; Face (sociological concept); Globalization; Epistemology; Social science; Pedagogy; Mathematics education; Psychology; Anthropology; Political science; Philosophy","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":[0.01369609,0.0005319362,0.0004584285,0.001446634,0.01060636,0.01329779,0.001322355,0.002035303,0.003294383],"category_scores_gemma":[0.0106818,0.0003103083,0.0004817188,0.0009526699,0.06122157,0.01272321,0.01403602,0.004580228,0.0002653717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003717807,"about_ca_system_score_gemma":0.002887193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008538959,"about_ca_topic_score_gemma":0.001156147,"domain_scores_codex":[0.990575,0.007533611,0.0001892375,0.0004659304,0.0007341434,0.0005020219],"domain_scores_gemma":[0.9872217,0.008342521,0.001369472,0.001720219,0.0007491321,0.0005969421],"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":[0.00005703487,0.00007955469,0.001161048,0.0001434024,0.00001056342,0.0003930414,0.4100769,0.0003324304,0.001060479,0.5709355,0.002057066,0.01369301],"study_design_scores_gemma":[0.00005910837,0.0001488492,0.001668972,0.0005521528,0.00003445056,0.001488346,0.3552495,0.001859592,0.003746916,0.4191224,0.2159965,0.00007316751],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5533533,0.003204289,0.05212084,0.04597373,0.0008619367,0.0001603708,0.00003328592,0.0001820589,0.3441102],"genre_scores_gemma":[0.9921136,0.0003737761,0.003295286,0.0006828483,0.00007030986,0.00003635423,0.000006743431,0.00002968621,0.003391465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01369609,"threshold_uncertainty_score":0.0724327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2730437705535902,"score_gpt":0.5127122237696398,"score_spread":0.2396684532160496,"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."}}