{"id":"W233539489","doi":"","title":"Exploring Excellence and Equity within Canadian Mathematics Classrooms.","year":2005,"lang":"en","type":"article","venue":"","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Disadvantaged; Excellence; Connected Mathematics; Core-Plus Mathematics Project; Equity (law); Reform mathematics; Socioeconomic status; Multilevel model; Academic achievement; Math wars; Mathematics curriculum; Teaching method; Mathematics; Pedagogy; Psychology; Sociology; Political science; Technology integration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003161776,0.0002911596,0.0004479518,0.003330972,0.006161767,0.002441635,0.001131678,0.0004006241,0.002414532],"category_scores_gemma":[0.0120906,0.0001837912,0.0004573857,0.004897537,0.002680141,0.001275029,0.003883414,0.0008425973,0.00007741302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04495592,"about_ca_system_score_gemma":0.06084926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902927,"about_ca_topic_score_gemma":0.9960305,"domain_scores_codex":[0.997059,0.0003534166,0.0000650923,0.0003173981,0.001354047,0.0008510365],"domain_scores_gemma":[0.9945814,0.0009780646,0.0008084928,0.0002488471,0.002332587,0.001050592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001149634,0.00008414224,0.7914044,0.0001081665,0.00009632164,0.0001502518,0.07256764,0.0008861997,0.000637049,0.04211461,0.00354103,0.08829517],"study_design_scores_gemma":[0.000006133268,0.00002698779,0.9511799,0.00006529966,0.00004286272,0.00003518553,0.0350464,0.001148326,0.0002404541,0.002768971,0.009410867,0.00002848555],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825393,0.0009389328,0.0006194034,0.001741293,0.00001780283,0.00002472204,0.0004648564,0.000009800456,0.01364391],"genre_scores_gemma":[0.998207,0.0001697115,0.0004580135,0.0000361319,0.000002252718,0.000009775297,0.0001351876,0.000003687004,0.0009782151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04495592,"threshold_uncertainty_score":0.3261795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3039385174273713,"score_gpt":0.3956144264899518,"score_spread":0.0916759090625805,"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."}}