{"id":"W4378218022","doi":"10.1016/j.acalib.2023.102738","title":"Patterns and trends of equity, diversity and inclusion programs in academic libraries","year":2023,"lang":"en","type":"article","venue":"The Journal of Academic Librarianship","topic":"Library Science and Administration","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"General partnership; Diversity (politics); Library science; Inclusion (mineral); Equity (law); Academic library; Professional association; Strategic planning; Political science; Public relations; Sociology; Business; Computer science; Marketing; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003499654,0.00008693968,0.000185287,0.0002908504,0.001314527,0.00005424846,0.0008980538,0.0002198717,0.00002215919],"category_scores_gemma":[0.0001828457,0.00005990804,0.00003415464,0.001014503,0.000492652,0.004225248,0.005502835,0.0007283027,6.304945e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000147861,"about_ca_system_score_gemma":0.0001856923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863631,"about_ca_topic_score_gemma":0.00004097747,"domain_scores_codex":[0.9982257,0.0003804364,0.0004031679,0.0001038327,0.0006265945,0.0002602333],"domain_scores_gemma":[0.9989761,0.0004272121,0.0003504416,0.00007257199,0.0000189586,0.0001546955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007972794,0.00001089139,0.7930899,0.00002304918,0.000007321899,0.000006855599,0.1521262,0.000003206801,0.0002576461,0.01705192,0.0004384244,0.0369048],"study_design_scores_gemma":[0.0005120761,0.0002328115,0.8099608,0.0002553252,0.00003109185,0.0000156486,0.0233228,0.00007439509,0.0004406554,0.1633712,0.001646665,0.0001365067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761239,0.0005013692,0.0000107488,0.02201532,0.0001327629,0.0000852562,0.000003820402,0.00002271161,0.001104094],"genre_scores_gemma":[0.9953467,0.003721139,0.000034488,0.0002888904,0.0002319107,4.865876e-7,0.000001832171,0.000004951162,0.0003696511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1463193,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1750793149273653,"score_gpt":0.3565991716060189,"score_spread":0.1815198566786536,"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."}}