{"id":"W2775898509","doi":"","title":"Grading Policies and Practices in Canada: A Landscape Study","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Educational Administration and Policy","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Grading (engineering); Accountability; Formative assessment; Policy analysis; Geography; Political science; Pedagogy; Psychology; Public administration; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01189598,0.0003112232,0.0008747923,0.01152272,0.008579188,0.00668576,0.00257721,0.0007320508,0.001479182],"category_scores_gemma":[0.04275025,0.0004847693,0.0006434951,0.03504886,0.00355687,0.001373319,0.002568542,0.0009654936,0.0001019851],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1910876,"about_ca_system_score_gemma":0.3344743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967852,"about_ca_topic_score_gemma":0.9984446,"domain_scores_codex":[0.9870533,0.002377716,0.001294088,0.001172879,0.005892036,0.002210032],"domain_scores_gemma":[0.9243178,0.0158488,0.009399898,0.001648467,0.04445423,0.004330793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004329488,0.0001398999,0.5765526,0.005020733,0.0004365952,0.00126835,0.1230499,0.001821189,0.001627629,0.01189838,0.01432261,0.2634291],"study_design_scores_gemma":[0.00003339861,0.0001174029,0.863373,0.003023804,0.0003199457,0.0003024584,0.07363205,0.001022711,0.0007009354,0.0007384675,0.05653212,0.0002036794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933982,0.02714838,0.001086145,0.006914446,0.00006415595,0.0005433182,0.008612614,0.00008521871,0.02156379],"genre_scores_gemma":[0.987039,0.008265302,0.001569013,0.0004727552,0.000007016031,0.00008704608,0.001145407,0.00002477413,0.00138967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8089124,"threshold_uncertainty_score":0.9382237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06697337941789532,"score_gpt":0.4357721105361669,"score_spread":0.3687987311182715,"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."}}