{"id":"W3131144167","doi":"10.33137/ijidi.v5i1.33938","title":"Diversity and inclusion in libraries","year":2021,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Diversity (politics); Inclusion (mineral); Library science; Sociology; Political science; Computer science; Anthropology","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.001606653,0.00006685553,0.000100736,0.0002004175,0.01205736,0.0001750199,0.001129175,0.00006251179,0.0002254572],"category_scores_gemma":[0.0004391295,0.00005290998,0.00006375303,0.0002913246,0.0002019447,0.007317375,0.07869621,0.0001803838,0.000007026805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536853,"about_ca_system_score_gemma":0.0003807709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006258264,"about_ca_topic_score_gemma":0.0004215402,"domain_scores_codex":[0.9977868,0.0001363974,0.0003245946,0.00006323581,0.001570206,0.0001187199],"domain_scores_gemma":[0.9988454,0.0001696233,0.0003506646,0.00007032473,0.0004755493,0.00008845395],"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":[0.0002369926,0.0001048102,0.1384252,0.000007527829,0.00004322037,0.00008767491,0.7743675,0.0001690399,0.000163742,0.06216508,0.003524939,0.02070425],"study_design_scores_gemma":[0.00417257,0.000258504,0.2451242,0.0003844704,0.0000697155,0.0001751919,0.140281,0.001222613,0.005026194,0.2748374,0.3278183,0.0006298944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537815,0.0001012833,0.0003273173,0.03633143,0.0007560436,0.00006589605,0.000005965378,0.00001190137,0.008618691],"genre_scores_gemma":[0.9956752,0.0005301387,0.0002686399,0.003178964,0.0001407746,1.515782e-7,0.00000752311,0.000001106658,0.00019747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6340865,"threshold_uncertainty_score":0.9892288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310648667547823,"score_gpt":0.2647833615240792,"score_spread":0.241676874848601,"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."}}