{"id":"W4413304054","doi":"10.1080/0969594x.2025.2549158","title":"Diversity: a necessary imperative for assessment research","year":2025,"lang":"en","type":"article","venue":"Assessment in Education Principles Policy and Practice","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Diversity (politics); Data science; Engineering ethics; Management science; Computer science; Sociology; Engineering; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2155466,0.0008743593,0.003520135,0.004174851,0.01063953,0.01961405,0.003933585,0.008013582,0.004408954],"category_scores_gemma":[0.331499,0.001429142,0.0009299496,0.003246692,0.057139,0.0314111,0.02393151,0.01633723,0.002013988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005877886,"about_ca_system_score_gemma":0.02309386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002364931,"about_ca_topic_score_gemma":0.002009641,"domain_scores_codex":[0.7626415,0.1687695,0.01033214,0.01454684,0.03964183,0.004068161],"domain_scores_gemma":[0.5476184,0.326946,0.01227866,0.06116834,0.03962917,0.01235936],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000716005,0.00008324424,0.001847639,0.0007265294,0.00007725163,0.00009396132,0.00928052,0.000533636,0.0003368888,0.9326436,0.01005259,0.04425246],"study_design_scores_gemma":[0.00003231624,0.00005192799,0.0005294493,0.0008889849,0.00001486342,0.0001814604,0.002091278,0.0003688725,0.0001679985,0.9549664,0.0406717,0.00003482396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01507769,0.02635543,0.2426848,0.584919,0.005387601,0.000952452,0.0003609023,0.0003147819,0.1239472],"genre_scores_gemma":[0.6986411,0.01280428,0.193506,0.07468904,0.009057436,0.003490573,0.0003067446,0.000285267,0.00721942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7844534,"threshold_uncertainty_score":0.9673707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4676913733950703,"score_gpt":0.6664621529759441,"score_spread":0.1987707795808739,"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."}}