{"id":"W2811238717","doi":"10.1111/bjet.12635","title":"A pedagogy of multiliteracies: Young children and multimodal learning with tablets","year":2018,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"Department of Economic and Community Development; International Business Machines Corporation","keywords":"Multimodality; Pedagogy; Narrative; Early childhood education; Educational technology; Early childhood; Sociology; Focus group; Psychology; Developmental psychology; Art; Computer science; Literature; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002145323,0.0003768702,0.0005646184,0.0009109752,0.002902237,0.004391703,0.0006608542,0.001172062,0.003544797],"category_scores_gemma":[0.003428162,0.000301137,0.0003851611,0.0008658601,0.004455394,0.003588368,0.005781255,0.001271342,0.0002505384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640567,"about_ca_system_score_gemma":0.001557707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004329993,"about_ca_topic_score_gemma":0.00621312,"domain_scores_codex":[0.9977284,0.00124821,0.0001470687,0.0002182433,0.0003442617,0.0003137685],"domain_scores_gemma":[0.9981858,0.00109803,0.0002815328,0.00009790329,0.0001051517,0.0002315514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009065095,0.0002335758,0.049552,0.0008263942,0.00002402623,0.01734463,0.8595924,0.0002480284,0.002892259,0.01917678,0.001391411,0.04862789],"study_design_scores_gemma":[0.00002490062,0.0005025847,0.03793714,0.001136945,0.00005590764,0.01633899,0.8075408,0.0003008482,0.003368437,0.003975303,0.1287497,0.00006843594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728373,0.002169873,0.002144166,0.001259258,0.00004885201,0.00012283,0.00008950203,0.00002508879,0.0213031],"genre_scores_gemma":[0.9958131,0.0009466147,0.001070414,0.00009625249,0.000009045676,0.00007401156,0.00001409782,0.000005218527,0.00197132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004391703,"threshold_uncertainty_score":0.01190323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006862391074885327,"score_gpt":0.2985247772339761,"score_spread":0.2916623861590908,"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."}}