{"id":"W2980308124","doi":"10.1353/jeu.2019.0023","title":"Representing Childhood and Forced Migration: Narratives of Borders and Belonging in European Screen Content for Children","year":2019,"lang":"en","type":"article","venue":"Jeunesse Young People Texts Cultures","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arts and Humanities Research Council","keywords":"Immigration; Narrative; Gender studies; White (mutation); Agency (philosophy); Diversity (politics); Sociology; Politics; Media studies; Political science; Social science; Art; Literature; Law; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003403237,0.0007571587,0.0004639518,0.001778739,0.008333981,0.008435722,0.0007598697,0.001487783,0.002814756],"category_scores_gemma":[0.006340429,0.000445377,0.0003933451,0.001702389,0.01308567,0.005720377,0.008060794,0.002472249,0.0001944092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004488116,"about_ca_system_score_gemma":0.001612062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0147214,"about_ca_topic_score_gemma":0.02435262,"domain_scores_codex":[0.9970799,0.001873576,0.0001177348,0.0002090566,0.0002720404,0.0004475719],"domain_scores_gemma":[0.9963292,0.002487355,0.0004456095,0.000195032,0.0001800209,0.0003627201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002364325,0.000006350921,0.001737452,0.00003816117,0.000004783177,0.0005117141,0.9891594,0.00002015976,0.0003978023,0.006000404,0.0002591178,0.001840918],"study_design_scores_gemma":[0.000003443527,0.00001809775,0.00392452,0.0001563144,0.00001088729,0.0005724169,0.971904,0.00003496899,0.0003906581,0.0006782378,0.02228934,0.00001693386],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974803,0.001265418,0.0008555728,0.001358199,0.0000610725,0.00001929662,0.00007240182,0.00002146043,0.02154351],"genre_scores_gemma":[0.9963465,0.0006968197,0.0003736226,0.0001671965,0.0000133367,0.00002682653,0.00003823721,0.00003125304,0.002306261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0147214,"threshold_uncertainty_score":0.03256369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281532983156284,"score_gpt":0.2451534401922046,"score_spread":0.2323381103606418,"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."}}