{"id":"W4292841507","doi":"10.3102/1430052","title":"Fairness of Teachers' Grading Practices and Decisions in Canadian and Chinese Secondary Schools","year":2019,"lang":"en","type":"article","venue":"Proceedings of the 2019 AERA Annual Meeting","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Grading (engineering); Computer science; Mathematics education; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02283769,0.0002684985,0.0009427318,0.004064092,0.01029539,0.005152645,0.002409681,0.001020972,0.00281171],"category_scores_gemma":[0.08692184,0.0003218456,0.0004626313,0.005594701,0.004474638,0.0009561473,0.002351324,0.001348498,0.0003136984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05756461,"about_ca_system_score_gemma":0.08977705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9437245,"about_ca_topic_score_gemma":0.9700223,"domain_scores_codex":[0.9738086,0.00538885,0.001564172,0.002356057,0.01084453,0.00603773],"domain_scores_gemma":[0.9145716,0.02581581,0.008730016,0.004270234,0.03662798,0.009984357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002003978,0.000324194,0.7651684,0.0001490087,0.00014649,0.0003868569,0.1153332,0.002111387,0.001160401,0.01496339,0.01320412,0.08504862],"study_design_scores_gemma":[0.00005148321,0.00008926512,0.9639131,0.00005922286,0.00005049268,0.00003151349,0.02606422,0.001625277,0.0007124481,0.001722085,0.005589308,0.00009148146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856792,0.0002575537,0.0003177184,0.001016943,0.00004592725,0.00005413338,0.0002512556,0.00002743001,0.01234983],"genre_scores_gemma":[0.9978472,0.0000303994,0.0001137815,0.00004049437,0.000004679008,0.000008143191,0.00005546164,0.000004892226,0.001894892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05756461,"threshold_uncertainty_score":0.4176625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161106929120129,"score_gpt":0.3134544626097813,"score_spread":0.30184339331858,"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."}}