{"id":"W4406429227","doi":"10.1016/j.rmal.2025.100185","title":"CA and MCA to advance diversity, equity, and inclusion (DEI): A case for motivated looking","year":2025,"lang":"en","type":"article","venue":"Research Methods in Applied Linguistics","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Inclusion (mineral); Diversity (politics); Political science; Financial economics; Economics; Sociology; Gender studies; Law","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.05198347,0.0006620662,0.001315539,0.004091721,0.01524146,0.01366843,0.002901614,0.005028805,0.003857008],"category_scores_gemma":[0.05456889,0.0006312699,0.001232777,0.00305372,0.0807256,0.0213441,0.02010212,0.00817644,0.0003985365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009034954,"about_ca_system_score_gemma":0.01404434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003963795,"about_ca_topic_score_gemma":0.005726257,"domain_scores_codex":[0.9495425,0.04068162,0.0009230406,0.00311453,0.003785991,0.001952375],"domain_scores_gemma":[0.9199333,0.0623409,0.002912951,0.00852621,0.00330444,0.002982243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008474193,0.000009204336,0.0002044233,0.00002805453,0.000003194242,0.00003480309,0.01505855,0.0000636736,0.00004969908,0.9793208,0.0003545655,0.00486467],"study_design_scores_gemma":[0.000006574854,0.000008680207,0.0001280288,0.0001014957,0.000003570498,0.00005875184,0.008034478,0.0005340131,0.0001225276,0.9745269,0.01646497,0.000009969983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1139973,0.005526863,0.3621232,0.114232,0.0009839288,0.0005833818,0.00008760575,0.0002768305,0.4021889],"genre_scores_gemma":[0.9276265,0.0004495371,0.06342341,0.003471133,0.0001432366,0.0004948902,0.00001839057,0.0001043695,0.004268599],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9970984,"threshold_uncertainty_score":0.2749182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2465344450362851,"score_gpt":0.6360173060759611,"score_spread":0.3894828610396759,"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."}}