{"id":"W4383561227","doi":"10.1177/00274321231176683","title":"Nurturing Musical Creativity through Assessment for Learning","year":2023,"lang":"en","type":"article","venue":"Music Educators Journal","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Creativity; Formative assessment; Leverage (statistics); Psychology; Variety (cybernetics); Context (archaeology); Music education; Pedagogy; Mathematics education; Engineering ethics; Computer science; Social psychology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00844899,0.0005828244,0.0004103911,0.001186351,0.0009853058,0.004959531,0.001430198,0.0007046097,0.002673604],"category_scores_gemma":[0.02632957,0.0001936108,0.0003631825,0.0005292353,0.002363882,0.00398469,0.006278045,0.002055798,0.001090607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111642,"about_ca_system_score_gemma":0.002870872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643493,"about_ca_topic_score_gemma":0.0009464681,"domain_scores_codex":[0.9925328,0.003650812,0.0003662145,0.0004273536,0.002779083,0.0002437776],"domain_scores_gemma":[0.9823626,0.01183995,0.0009229553,0.001870997,0.001922707,0.001080935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004000764,0.0002989616,0.002885932,0.0003248136,0.00001070823,0.0001466734,0.006850502,0.0009462594,0.006030733,0.03368788,0.002485031,0.9462925],"study_design_scores_gemma":[0.0001772933,0.002318596,0.02114931,0.003329088,0.0001099901,0.004067728,0.01545012,0.02645141,0.05929764,0.4061978,0.4610752,0.0003758617],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110856,0.002217517,0.7140222,0.005993684,0.0002488632,0.001188672,0.0000819788,0.003763834,0.1616273],"genre_scores_gemma":[0.3940964,0.001471176,0.5915639,0.0004727815,0.0000784872,0.0005975808,0.00006971821,0.0001600217,0.01148982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00844899,"threshold_uncertainty_score":0.04468304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219177360569669,"score_gpt":0.3355717447426313,"score_spread":0.2136540086856644,"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."}}