{"id":"W2786179190","doi":"","title":"A Study on Development of Multicultural Character Education Model for Preservice Early Childhood Teachers","year":2013,"lang":"en","type":"article","venue":"Early childhood education","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Early childhood; Multiculturalism; Character education; Psychology; Early childhood education; Early childhood teacher; Pedagogy; Multicultural education; Mathematics education; Sociology; Developmental psychology; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419863,0.0002449799,0.0002225854,0.0002019841,0.000244728,0.0002548905,0.0007116841,0.00008279364,0.00000971956],"category_scores_gemma":[0.00006504427,0.0002110976,0.00008195727,0.0002821927,0.00001680134,0.001060926,0.0000738617,0.0001457613,0.0001202736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296969,"about_ca_system_score_gemma":0.001813735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009272697,"about_ca_topic_score_gemma":0.00002581973,"domain_scores_codex":[0.9982592,0.00007562955,0.0005350944,0.000452605,0.0003769534,0.0003004613],"domain_scores_gemma":[0.9983784,0.00007314403,0.0003346203,0.0005818304,0.0004729209,0.0001591142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000001268913,0.004701353,0.006962841,0.00001034803,0.0000629108,8.80172e-9,0.9581169,0.00005199075,0.0003823692,0.002025838,0.002578837,0.0251053],"study_design_scores_gemma":[0.0003104273,0.0001585764,0.9908869,0.00008499433,0.00001344497,0.000001621724,0.006852749,0.0001394332,0.0005009221,0.0004724572,0.0003285556,0.0002499129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931419,0.00006246456,0.001336606,0.001358504,0.0009819544,0.002578423,0.000004452073,0.00006997548,0.0004657234],"genre_scores_gemma":[0.9761228,8.078453e-7,0.0196508,0.0003846093,0.0004611195,0.001772286,0.0000439906,0.00002225976,0.001541337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9839241,"threshold_uncertainty_score":0.860831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981635516075861,"score_gpt":0.2711451390566944,"score_spread":0.2513287838959358,"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."}}