{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.01465824,0.00008117891,0.0001876892,0.0003942285,0.003425517,0.0001186971,0.0002865534,0.0001134662,0.000006979917],"category_scores_gemma":[0.02144485,0.00008607486,0.00001437544,0.0008624356,0.000260124,0.00001212989,0.0138085,0.0002484481,9.363103e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370248,"about_ca_system_score_gemma":0.0003144108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006187879,"about_ca_topic_score_gemma":0.001992076,"domain_scores_codex":[0.9980281,0.0006395694,0.000207729,0.0002928439,0.0003959567,0.0004357719],"domain_scores_gemma":[0.9952112,0.004018749,0.00004072423,0.0001633276,0.0003655607,0.0002004185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004940498,0.00004493,0.002035041,0.000273775,0.00000987537,0.00001942005,0.06116882,0.00001066718,0.0005101071,0.8131738,0.0008766493,0.1218275],"study_design_scores_gemma":[0.0004755913,0.00004076908,0.0001702155,0.0001777849,0.00001003344,0.000002142332,0.01827052,0.0003329765,0.0005462408,0.4221378,0.5576708,0.0001650471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08113049,0.00149288,0.1617735,0.00712131,0.001918141,0.005889802,0.00009608341,0.0001285903,0.7404492],"genre_scores_gemma":[0.7945768,0.0001272074,0.2038427,0.0002378573,0.0004143434,0.00006133752,0.000001420542,0.000007621241,0.0007307154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7397185,"threshold_uncertainty_score":0.9978719,"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."}}