{"id":"W4408566478","doi":"10.18438/eblip30656","title":"EDI and Anti-Racism Work Is Labour-Intensive for Racialized Academic Librarians (and Organizations Could Do More to Address This)","year":2025,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Racism; Work (physics); Sociology; Public relations; Gender studies; Political science; Engineering","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":[0.008795635,0.0002955795,0.0004167208,0.002294356,0.009176873,0.01154272,0.0007107984,0.001862095,0.007375193],"category_scores_gemma":[0.01559454,0.000274734,0.000534869,0.003919797,0.008738616,0.008411323,0.005820878,0.002642523,0.001012239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004911298,"about_ca_system_score_gemma":0.01296646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204043,"about_ca_topic_score_gemma":0.02706925,"domain_scores_codex":[0.9904178,0.00522017,0.000606274,0.0005746232,0.002152108,0.001029013],"domain_scores_gemma":[0.9843132,0.007878666,0.00228004,0.0007254247,0.003273416,0.001529271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005235496,0.0001303733,0.02910644,0.006261798,0.0001071402,0.0008424301,0.2648723,0.00007534945,0.001456183,0.04692623,0.09296741,0.557202],"study_design_scores_gemma":[0.000006542306,0.00005974933,0.02321917,0.006447359,0.00005128457,0.0008969622,0.23157,0.00002994491,0.0005087696,0.004501963,0.7326559,0.00005235066],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1901859,0.3588094,0.002557697,0.3270642,0.00532945,0.0001180818,0.0001445941,0.0001173694,0.1156734],"genre_scores_gemma":[0.730307,0.1992115,0.002721115,0.04617331,0.00220433,0.0001148979,0.0001201992,0.0001283669,0.01901934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01204043,"threshold_uncertainty_score":0.0465163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196538114103344,"score_gpt":0.3358081432810476,"score_spread":0.3138427621400142,"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."}}