{"id":"W4377244639","doi":"10.1002/trtr.2211","title":"A Transnational, Translingual Lens on Curriculum: Supporting Children who are Immigrants and Refugees","year":2023,"lang":"en","type":"article","venue":"The Reading Teacher","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Refugee; Curriculum; Diversity (politics); Variety (cybernetics); Literacy; Pedagogy; Psychology; Quarter (Canadian coin); Sociology; Cultural diversity; Reflection (computer programming); Political science; History","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":[],"consensus_categories":[],"category_scores_codex":[0.001255845,0.00009817127,0.0001248291,0.00009674335,0.0006456451,0.00007054375,0.0001778182,0.0000709845,0.0001387914],"category_scores_gemma":[0.0003170359,0.00007311942,0.0000554959,0.0003329909,0.0001402833,0.00008207965,0.00000910386,0.0001996975,0.00004044702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003392729,"about_ca_system_score_gemma":0.00008441693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551542,"about_ca_topic_score_gemma":0.0006974663,"domain_scores_codex":[0.9988713,0.0002020317,0.0001670524,0.0001841268,0.0002699704,0.0003055165],"domain_scores_gemma":[0.9995307,0.0001568244,0.00008073921,0.0001202542,0.00003371314,0.00007777839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002202916,0.0001937848,0.1230083,0.00002671852,0.0001009703,0.000004473648,0.6319106,0.00004804237,0.000228342,0.1802696,0.0147541,0.04943306],"study_design_scores_gemma":[0.001188664,0.0000799114,0.666833,0.0002418811,0.0001232635,0.00001064715,0.06754655,0.00098175,0.0004785339,0.004976211,0.256678,0.0008614691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656542,0.00003691909,0.000002130527,0.02522904,0.0001122064,0.0001894284,0.000009851751,0.0001724393,0.008593783],"genre_scores_gemma":[0.991065,0.00004506493,0.00001718862,0.0003864808,0.000389881,0.00001163169,0.00001133915,0.00001475197,0.00805863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5643641,"threshold_uncertainty_score":0.4965845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05460364736044828,"score_gpt":0.4279081557976409,"score_spread":0.3733045084371926,"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."}}