{"id":"W4311236721","doi":"10.21083/partnership.v17i2.6799","title":"Designing the Diversity of Canadian Libraries: Excerpts from the CARL Inclusion Perspectives Webinar by Racialized Library Colleagues","year":2022,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Library Science and Administration","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Saskatchewan Museum; University of Saskatchewan; University of Ottawa; University of Manitoba; Toronto Metropolitan University; Library and Archives Canada; University of British Columbia","funders":"","keywords":"Inclusion (mineral); Diversity (politics); Library science; Equity (law); Sociology; Racism; Academic library; Accreditation; Advice (programming); Political science; Media studies; Public relations; Gender studies; Law; Anthropology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005844107,0.001238463,0.0005872513,0.003845215,0.0509495,0.01014638,0.002262147,0.002713224,0.004619671],"category_scores_gemma":[0.009228107,0.0007398504,0.000476564,0.005282409,0.0121121,0.003398839,0.007910236,0.004978045,0.0006999063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05550115,"about_ca_system_score_gemma":0.06848124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8429269,"about_ca_topic_score_gemma":0.9555797,"domain_scores_codex":[0.9926134,0.003345879,0.0001542917,0.000363465,0.001853043,0.001669918],"domain_scores_gemma":[0.9924597,0.00315576,0.0002795046,0.0001839564,0.001745205,0.002175899],"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":[0.00002389077,0.00002211568,0.0004887321,0.0001248258,0.000003056829,0.0007772945,0.9572283,0.00004791481,0.001018214,0.004051501,0.02463405,0.01158006],"study_design_scores_gemma":[0.000003718067,0.00001029346,0.001881329,0.0002565996,0.000005749562,0.0002697882,0.72625,0.00004287371,0.0004127604,0.0005081651,0.2703336,0.0000251103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4360968,0.01365098,0.01394127,0.1035387,0.003397044,0.001258848,0.001364127,0.0005055437,0.4262468],"genre_scores_gemma":[0.8284735,0.006999297,0.01455102,0.01607785,0.0004423972,0.0008714513,0.0005208159,0.0006957485,0.1313681],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1570731,"threshold_uncertainty_score":0.4026909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07598557300210336,"score_gpt":0.3296842897511749,"score_spread":0.2536987167490716,"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."}}