{"id":"W4224216044","doi":"10.1002/tesq.3146","title":"Digital Storytelling With Youth From Refugee Backgrounds: Possibilities for Language and Digital Literacy Learning","year":2022,"lang":"en","type":"article","venue":"TESOL Quarterly","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pedagogy; Digital storytelling; Literacy; Sociology; Digital literacy; Storytelling; Meaning-making; Meaning (existential); Language acquisition; Psychology; Mathematics education; Narrative; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216705,0.0001910389,0.0002291454,0.00008987443,0.001091859,0.0002974987,0.0001388154,0.00005663043,0.0001256943],"category_scores_gemma":[0.00006228271,0.0001727521,0.00005459716,0.0001132133,0.0000652587,0.0009636848,0.00003643155,0.0004966633,0.00005184418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756823,"about_ca_system_score_gemma":0.0001374013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001735098,"about_ca_topic_score_gemma":0.000013257,"domain_scores_codex":[0.9985013,0.00008537742,0.0003460382,0.0004012823,0.0002332768,0.0004327075],"domain_scores_gemma":[0.9985411,0.0008146338,0.0001915079,0.0002383582,0.00008459009,0.0001298008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005819696,0.0002313082,0.0366442,0.0001701327,0.00009054835,0.000007021171,0.7090047,0.00005149725,0.00004686077,0.0002548497,0.0006188094,0.2522981],"study_design_scores_gemma":[0.001629585,0.003034373,0.002277557,0.0002249022,0.00006241295,0.000005842061,0.9238157,0.000737479,0.000004932878,0.0020554,0.06556387,0.0005878926],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913676,0.0005927187,0.001296388,0.0000740997,0.0003720999,0.0004902732,0.0007278302,0.0002500759,0.00482896],"genre_scores_gemma":[0.9823917,0.000001095736,0.0002810101,0.000119155,0.0003932107,0.0001676968,0.001085943,0.00005457179,0.01550564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2517102,"threshold_uncertainty_score":0.8397804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558919819105339,"score_gpt":0.3224461669037149,"score_spread":0.2968569687126615,"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."}}