{"id":"W4391777207","doi":"10.2139/ssrn.4723349","title":"Making a Song and Dance About it: The Effectiveness of Teaching Children Vocabulary with Animated Music Videos","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Toronto","funders":"","keywords":"Dance; Vocabulary; Visual arts; Psychology; Dance education; Multimedia; Teaching method; Art; Computer science; Linguistics; Communication; Pedagogy","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":[0.001563919,0.0006779307,0.0006658438,0.0007507176,0.0005907132,0.001118165,0.001041725,0.0009173152,0.00554605],"category_scores_gemma":[0.0105603,0.000371736,0.0007335219,0.0004226976,0.0006665505,0.001645804,0.001154911,0.001088822,0.0005644124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007481941,"about_ca_system_score_gemma":0.001267351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008051923,"about_ca_topic_score_gemma":0.0118288,"domain_scores_codex":[0.9990534,0.00029411,0.00007909842,0.0002234292,0.0001913969,0.0001585848],"domain_scores_gemma":[0.9950599,0.003287644,0.000408234,0.0001840596,0.0002108821,0.0008491524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02734064,0.1047605,0.05598612,0.00512379,0.0008617358,0.00200852,0.06068715,0.002549411,0.09001667,0.00242245,0.005207767,0.6430352],"study_design_scores_gemma":[0.02002439,0.133256,0.5561398,0.003638801,0.00663853,0.002372949,0.08137278,0.01079731,0.1315876,0.005648056,0.04781388,0.0007097949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963337,0.0002432425,0.0001690044,0.00008502868,0.00003090102,0.00009289366,0.0000458635,0.00003459252,0.002964749],"genre_scores_gemma":[0.9917912,0.0008146569,0.002705189,0.00009099086,0.00002183077,0.0002388887,0.0001334122,0.00002936749,0.004174316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008051923,"threshold_uncertainty_score":0.01855344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104118029834626,"score_gpt":0.3131988279172618,"score_spread":0.3021576476189156,"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."}}