{"id":"W2088142397","doi":"10.1080/14926156.2013.758325","title":"Considering Indigenous Knowledges and Mathematics Curriculum","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Indigenous; Curriculum; Generative grammar; Mathematics education; Mathematics curriculum; Sociology; Pedagogy; Indigenous education; Ethnomathematics; Traditional knowledge; Teaching method; Mathematics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001249038,0.00007284728,0.0001347296,0.001038982,0.001202323,0.0003103795,0.0003419339,0.00008464786,0.0001322927],"category_scores_gemma":[0.001767306,0.00006368942,0.00001283528,0.0009966379,0.003485757,0.0004818855,0.0000187923,0.0001628676,0.00001634685],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258954,"about_ca_system_score_gemma":0.007597436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003602963,"about_ca_topic_score_gemma":0.006087928,"domain_scores_codex":[0.9991125,0.00001436234,0.0002584079,0.0001176675,0.0001853867,0.0003116271],"domain_scores_gemma":[0.9982995,0.00007758535,0.0002320969,0.0001180099,0.000771188,0.0005016296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[1.057248e-7,0.0001636229,0.04947331,0.00006214193,0.000009706181,0.000002236111,0.2570038,5.539e-7,0.001257844,0.5659122,0.001619133,0.1244953],"study_design_scores_gemma":[0.00008724041,0.00006367038,0.00308292,0.0001621197,0.00001917166,0.0003235721,0.6934758,0.0001714483,0.0004010551,0.2912185,0.01079555,0.0001989831],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861756,0.0008459846,0.0001186276,0.007512664,0.0006883463,0.0001811084,3.423415e-7,0.00001102536,0.004466309],"genre_scores_gemma":[0.9798205,0.0001324836,0.01961997,0.00007248046,0.00007554514,0.000008216127,8.848384e-8,0.000004212292,0.0002664532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.436472,"threshold_uncertainty_score":0.9992262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085924013766139,"score_gpt":0.3146317545775846,"score_spread":0.2937725144399232,"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."}}