{"id":"W4210558046","doi":"10.1177/1321103x211054793","title":"Nurturing student creativity through assessment for learning in music classrooms","year":2022,"lang":"en","type":"article","venue":"Research Studies in Music Education","topic":"Diverse Music Education Insights","field":"Arts and Humanities","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Creativity; Formative assessment; Nature versus nurture; Psychology; Pedagogy; Mathematics education; Music education; Leverage (statistics); Context (archaeology); Summative assessment; Sociology; Social psychology; Computer science","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003075247,0.0001775637,0.0003007438,0.0006277009,0.001778953,0.0001798225,0.0003514363,0.00002809304,0.002654545],"category_scores_gemma":[0.0005258985,0.000179422,0.00006700151,0.0004260437,0.0004255119,0.0004131279,0.0005040373,0.000897795,0.00001509872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660054,"about_ca_system_score_gemma":0.0009057975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380198,"about_ca_topic_score_gemma":0.004598988,"domain_scores_codex":[0.9966689,0.0008922585,0.0004350803,0.0005209526,0.0009147096,0.0005680831],"domain_scores_gemma":[0.9976468,0.001364746,0.0001369465,0.0002957916,0.0005082087,0.00004752398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003025834,0.002019663,0.009958944,0.0002137476,0.00007620213,0.000003880491,0.6466572,0.0005792679,0.0000242138,0.260563,0.07224807,0.007625524],"study_design_scores_gemma":[0.0003983216,0.000167658,0.006243994,0.00009266781,0.000007535906,5.734794e-7,0.5581965,0.00006920446,0.000003983551,0.01017464,0.4245027,0.0001421977],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.85601,0.001081007,0.00002079856,0.002681795,0.005641122,0.001891281,0.00001583322,0.00005860614,0.1325996],"genre_scores_gemma":[0.9713616,0.0001685002,0.0003142369,0.0002974368,0.0009615055,0.004900659,0.00005408227,0.00002899732,0.02191299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3522547,"threshold_uncertainty_score":0.9995206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4245833907022954,"score_gpt":0.5033484690826194,"score_spread":0.07876507838032404,"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."}}