{"id":"W7133039686","doi":"","title":"Get Over Yourselves, We are Doing This as a Team:" Teaching Canadian History Beyond the Eurocentric Lens","year":2017,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Privilege (computing); Curriculum; Social studies; Ethnic group; Content (measure theory); Social justice; Oral history; Economic Justice; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001670013,0.0002882424,0.0001394488,0.0007719984,0.02441342,0.006884169,0.0009783761,0.001326764,0.0283602],"category_scores_gemma":[0.003718916,0.0001954094,0.0002011123,0.001352095,0.00838952,0.002935624,0.002747503,0.001889821,0.002790756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04384214,"about_ca_system_score_gemma":0.09844846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9556304,"about_ca_topic_score_gemma":0.9878785,"domain_scores_codex":[0.9985549,0.0002248905,0.00002329335,0.000116015,0.0005497554,0.0005311884],"domain_scores_gemma":[0.9970946,0.0002072929,0.0001095945,0.00009242428,0.0008269937,0.001668994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004112884,0.00005318636,0.008492962,0.0002406443,0.000009985684,0.0008456298,0.1344291,0.0002210942,0.001389108,0.04761969,0.6465104,0.1601471],"study_design_scores_gemma":[0.000003820402,0.00001544301,0.005176017,0.0001626921,0.000006675328,0.000174519,0.09964696,0.0000686623,0.0003959322,0.001615433,0.8927055,0.0000284624],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07923432,0.00532493,0.004805832,0.193346,0.005308383,0.0001946742,0.0005724425,0.0004749912,0.7107384],"genre_scores_gemma":[0.4987368,0.006130697,0.006434999,0.01712541,0.0002497001,0.00008006508,0.00029146,0.0003143753,0.4706365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04436958,"threshold_uncertainty_score":0.3180985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284810849454343,"score_gpt":0.2850063522565041,"score_spread":0.2621582437619606,"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."}}