{"id":"W1590761840","doi":"10.20355/c5c30r","title":"What Should Preservice Teachers Know about Race and Diversity? Exploring a Critical Knowledge-Base for Teaching in 21st Century Canadian Classrooms","year":2012,"lang":"en","type":"article","venue":"Journal of Contemporary Issues in Education","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Race (biology); Construct (python library); Diversity (politics); Argument (complex analysis); Teacher education; Knowledge base; Pedagogy; Sociology; Critical race theory; Empirical research; Mathematics education; Empirical evidence; Cultural diversity; Psychology; Epistemology; Gender studies; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003017961,0.0001096935,0.0002520203,0.0004816736,0.00043947,0.0001180274,0.0002341377,0.0001300067,0.00002194577],"category_scores_gemma":[0.00152027,0.0001171434,0.00005595964,0.0001802554,0.0001478693,0.003104202,0.0000343683,0.0005032409,0.000001763381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017788,"about_ca_system_score_gemma":0.001944814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06238773,"about_ca_topic_score_gemma":0.1124919,"domain_scores_codex":[0.9984131,0.0004568772,0.000373942,0.0001375638,0.0002099244,0.0004085331],"domain_scores_gemma":[0.9984287,0.0006290938,0.0001427279,0.00009534913,0.0001334664,0.0005706511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003403386,0.0004786387,0.2139981,0.00005541963,0.00001013764,0.000002069954,0.7425803,0.000001599049,0.000006444569,0.008741625,0.006373808,0.02771783],"study_design_scores_gemma":[0.000193504,0.00003857905,0.007434078,0.0003607594,0.000009394275,0.000001721642,0.4517879,0.000003201355,0.000001764172,0.0003276795,0.5397502,0.0000912633],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.803958,0.1403926,0.000009567075,0.03303802,0.009825078,0.0002848814,0.000002574114,0.00001313405,0.01247618],"genre_scores_gemma":[0.9933429,0.003339031,0.0004846463,0.0002614242,0.001824411,0.00001815017,0.000003018944,0.00001242428,0.0007140086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5333763,"threshold_uncertainty_score":0.9438559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1677220304667782,"score_gpt":0.4274150930005456,"score_spread":0.2596930625337674,"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."}}