{"id":"W2978212970","doi":"","title":"과학교육에서의 다문화적 맥락을 중심으로 한 캐나다와 한국의 초등과학과 교육과정 비교 분석","year":2019,"lang":"ko","type":"article","venue":"교원교육","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Multiculturalism; Multicultural education; Diversity (politics); Science education; Pedagogy; Sociology; Mathematics education; Science, technology, society and environment education; Cultural diversity; Curriculum development; Engineering ethics; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004504682,0.000299272,0.0003626903,0.0001416298,0.0002193352,0.0004606627,0.001210715,0.0001780691,0.0009948156],"category_scores_gemma":[0.00004520435,0.0002788274,0.0001751999,0.0005202022,0.00008398847,0.000473933,0.000326339,0.0002741477,0.01710661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107802,"about_ca_system_score_gemma":0.0004165354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002595259,"about_ca_topic_score_gemma":0.000112285,"domain_scores_codex":[0.9975999,0.0001387615,0.0004620655,0.0005862124,0.0005741545,0.00063893],"domain_scores_gemma":[0.9980125,0.0002350957,0.0002240441,0.001092491,0.0001892402,0.0002466604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001311179,0.0004714206,0.1297195,0.0003772465,0.0001706751,0.00001919357,0.028505,0.0002409073,0.001944795,0.5399618,0.2850926,0.0134838],"study_design_scores_gemma":[0.0003910107,0.0001821786,0.1550276,0.0002365258,0.00001963249,0.00005333539,0.0004382674,0.001950246,0.0005625869,0.002483122,0.838071,0.0005845279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8555213,0.003133921,0.001416306,0.01802904,0.01566773,0.0007609035,0.00005778279,0.0002026013,0.1052104],"genre_scores_gemma":[0.9087861,0.00006267565,0.0007704919,0.002010508,0.001773253,0.0000190941,0.00001104643,0.00002648268,0.08654036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5529784,"threshold_uncertainty_score":0.9999664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781744446430462,"score_gpt":0.2718493975957762,"score_spread":0.2540319531314716,"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."}}