{"id":"W2763597750","doi":"","title":"Challenges Facing South Korean Early Childhood Teachers in Providing Global Citizenship Education: Becoming a Cosmopolitan Citizen","year":2016,"lang":"en","type":"article","venue":"Early childhood education","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Global citizenship; Global citizenship education; Early childhood education; Citizen journalism; Early childhood; Multiculturalism; Early childhood teacher; Teacher education; Pedagogy; Citizenship education; Political science; Sociology; Psychology; Law; Politics; Developmental psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007819216,0.0003508854,0.000314513,0.0002347124,0.0006458386,0.0003281418,0.0005301199,0.0002634666,0.000116058],"category_scores_gemma":[0.001449508,0.0003048312,0.0001468438,0.0006296792,0.0002082255,0.0007437611,0.00005850728,0.0002623706,0.0002137675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627307,"about_ca_system_score_gemma":0.003757332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005875542,"about_ca_topic_score_gemma":0.001736811,"domain_scores_codex":[0.996839,0.000470873,0.0005396048,0.0007392388,0.0005663192,0.000844938],"domain_scores_gemma":[0.9982891,0.0001230612,0.0003179383,0.0004249164,0.0003189101,0.0005260453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000004280693,0.0005541827,0.03801192,0.000007390055,0.00003532131,4.63166e-7,0.775584,3.781005e-7,0.00004506209,0.02752422,0.002401954,0.1558308],"study_design_scores_gemma":[0.0005762041,0.00003955013,0.8234598,0.0003911879,0.00002675248,0.000005909267,0.1630453,6.86475e-8,0.00005083444,0.009969021,0.002029289,0.0004061157],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139667,0.001099485,0.000005725174,0.01787616,0.002310865,0.001005793,0.0000219445,0.000223523,0.06348978],"genre_scores_gemma":[0.9948997,0.000183232,0.000559503,0.0006894085,0.001472763,0.0001918052,0.00002637452,0.00003260856,0.001944581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7854479,"threshold_uncertainty_score":0.9999404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159767899297184,"score_gpt":0.3096417104686819,"score_spread":0.2780440314757101,"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."}}