{"id":"W4389815149","doi":"10.18438/eblip30325","title":"Experiences of Visible Minority Librarians and Students in Canada from the ViMLoC Mentorship Program","year":2023,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université du Québec à Montréal; Université de Montréal; Université Laval; Wilfrid Laurier University; University of Ottawa; Library and Archives Canada","funders":"","keywords":"Mentorship; Helpfulness; Medical education; Psychology; Session (web analytics); Medicine; Social psychology; 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":[0.003450126,0.000348578,0.0005638027,0.0009879256,0.01935591,0.005514844,0.001917275,0.001282199,0.004236163],"category_scores_gemma":[0.008579115,0.0003934964,0.0004420065,0.001831684,0.003205962,0.001525796,0.007269998,0.002602883,0.0006182248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02588099,"about_ca_system_score_gemma":0.05170966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7157863,"about_ca_topic_score_gemma":0.8940083,"domain_scores_codex":[0.9936029,0.001655763,0.0001284158,0.0002493157,0.001729937,0.002633714],"domain_scores_gemma":[0.9868649,0.0008602634,0.00101198,0.0001780904,0.002652336,0.008432359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004616371,0.0006399346,0.1403859,0.0002651563,0.00003943235,0.00244257,0.7608575,0.0001071392,0.002121031,0.0007654453,0.01524207,0.07667225],"study_design_scores_gemma":[0.00001681421,0.0004380627,0.09246437,0.0001224012,0.00002443262,0.0004676251,0.8513424,0.00009649631,0.0009371394,0.00008293368,0.05393887,0.00006848626],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906104,0.0006536145,0.0001181165,0.003345273,0.00008407176,0.00006259866,0.00009991522,0.00002725348,0.004998702],"genre_scores_gemma":[0.987563,0.0005817119,0.00024476,0.001660453,0.00004351391,0.00004243487,0.0001094962,0.00001782828,0.009736797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2842137,"threshold_uncertainty_score":0.5717748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970366870076133,"score_gpt":0.3022273483827903,"score_spread":0.282523679682029,"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."}}