{"id":"W7075717322","doi":"","title":"Mis/classification: Identity-based Inequities in the Canadian and Global Post-secondary Context: Introduction","year":2022,"lang":"en","type":"article","venue":"Journals @ The Mount (Mount Saint Vincent University)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Agency (philosophy); Poverty; Inequality","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":[0.002594565,0.000577601,0.0004680097,0.005418757,0.007323385,0.006576191,0.001936157,0.00113104,0.01183503],"category_scores_gemma":[0.00840346,0.0002127624,0.0005068011,0.01499163,0.006293208,0.00340226,0.002515584,0.002377475,0.0004688757],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07830268,"about_ca_system_score_gemma":0.1008868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917114,"about_ca_topic_score_gemma":0.9936411,"domain_scores_codex":[0.9979837,0.0002478712,0.00007773608,0.0001719369,0.0007968073,0.0007219323],"domain_scores_gemma":[0.9945138,0.0007863226,0.0003625823,0.0001744337,0.003419746,0.000743276],"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":[0.00007841273,0.0001280329,0.1991215,0.0005882941,0.00005665352,0.0002655825,0.05406626,0.001656552,0.0002676644,0.4661259,0.1019928,0.1756523],"study_design_scores_gemma":[0.00001170924,0.0000446155,0.4276191,0.001654017,0.00009481407,0.0002171452,0.2223687,0.003189026,0.0006081933,0.05742738,0.286606,0.0001593868],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4619314,0.03622225,0.007658817,0.1539881,0.003369021,0.0005520994,0.01569495,0.0001893517,0.320394],"genre_scores_gemma":[0.9456675,0.01229862,0.004037626,0.002735908,0.0007501012,0.0001535891,0.001885655,0.00007987001,0.032391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9216973,"threshold_uncertainty_score":0.5681283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805010503251895,"score_gpt":0.2157680165312313,"score_spread":0.1977179114987123,"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."}}