{"id":"W2979335464","doi":"10.31468/cjsdwr.737","title":"Reflecting on Assessment: Strategies and Tools for Measuring the Impact of a Canadian WAC Program","year":2019,"lang":"en","type":"article","venue":"Discourse and Writing/Rédactologie","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Writing assessment; Exposition (narrative); Context (archaeology); Variety (cybernetics); Process (computing); Computer science; Engineering ethics; Reflection (computer programming); Engineering management; Pedagogy; Engineering; Sociology; Artificial intelligence; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002247,0.0001363395,0.0002179321,0.0001298552,0.0005494786,0.0007752758,0.0001828889,0.00008658983,0.00002784843],"category_scores_gemma":[0.0001373121,0.00009018982,0.00008818645,0.0002198067,0.0002326551,0.0006001288,0.00003272504,0.0001609445,0.00000120756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008796693,"about_ca_system_score_gemma":0.0005692411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03708243,"about_ca_topic_score_gemma":0.02953833,"domain_scores_codex":[0.9988225,0.0001015725,0.0001768086,0.0002262699,0.000204997,0.0004678818],"domain_scores_gemma":[0.9989538,0.0006166645,0.0001154805,0.000127991,0.00007712712,0.0001089883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000576144,0.0001771461,0.7007928,0.00008248559,0.0002423645,0.000006445742,0.01368342,0.0000346132,0.0008381259,0.1058034,0.0003228968,0.1779586],"study_design_scores_gemma":[0.0007966979,0.0008242055,0.6541693,0.0001605772,0.00006162364,0.000001833128,0.3400497,0.0001829144,0.00007481148,0.002395529,0.0009623331,0.0003204072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302627,0.0001593122,0.000006443372,0.00117691,0.0000775788,0.0008521919,0.00001166116,0.0000399162,0.06741329],"genre_scores_gemma":[0.9992796,0.0001766524,0.0002528965,0.00002909726,0.0001108565,0.00005668074,0.000007163563,0.00001027294,0.00007681958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3263663,"threshold_uncertainty_score":0.9881701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2746346505821486,"score_gpt":0.5338785316821187,"score_spread":0.2592438810999701,"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."}}