{"id":"W4214809027","doi":"10.18357/kula.222","title":"Getting Scrappy in the Classroom During COVID-19","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta; University of Victoria; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada; University of Alberta; University of Victoria","keywords":"Exhibition; Rubric; Coronavirus disease 2019 (COVID-19); Reflection (computer programming); Value (mathematics); Work (physics); Sociology; Pedagogy; Resource (disambiguation); Visual arts; Mathematics education; Computer science; Engineering; Psychology; Art; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.007049922,0.0005374802,0.0006715277,0.001672589,0.009448698,0.008128068,0.002080533,0.002179065,0.009064764],"category_scores_gemma":[0.01688712,0.0005689258,0.0005698769,0.001033945,0.004801164,0.004466564,0.008529543,0.003578974,0.004288479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00331585,"about_ca_system_score_gemma":0.005046608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815139,"about_ca_topic_score_gemma":0.00851877,"domain_scores_codex":[0.9927824,0.002600896,0.000353394,0.001050293,0.00211411,0.001098976],"domain_scores_gemma":[0.9842757,0.004801805,0.0009200975,0.002054915,0.003634991,0.004312367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001898521,0.001369669,0.005983726,0.0005424421,0.00001423853,0.003351989,0.474134,0.0004178716,0.01396885,0.01300498,0.04406584,0.4429564],"study_design_scores_gemma":[0.00003595503,0.001146645,0.007146126,0.0005623723,0.00002302905,0.002888603,0.2058769,0.000705523,0.01645523,0.004786563,0.7602338,0.0001392181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438584,0.002906612,0.07025554,0.02165786,0.003260175,0.0009937639,0.0001840202,0.004023391,0.2528601],"genre_scores_gemma":[0.7671903,0.001148308,0.04739079,0.00422703,0.0003825039,0.0003869223,0.0002544334,0.001063559,0.1779562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009448698,"threshold_uncertainty_score":0.03728396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09589745840562117,"score_gpt":0.3612923084270204,"score_spread":0.2653948500213993,"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."}}