{"id":"W4389639794","doi":"10.3998/nasig.4306","title":"Hybrid Vision Panel: Progress Not Perfection: DEI Work Within Information Organizations","year":2023,"lang":"en","type":"article","venue":"NASIG Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"","keywords":"Inclusion (mineral); Equity (law); Diversity (politics); Perfection; Demographics; Public relations; Indigenous; Work (physics); Political science; Sociology; Social science; Engineering; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0006715393,0.00009267188,0.000082577,0.0001796581,0.001113914,0.0007710698,0.0002327573,0.00007838605,0.000117605],"category_scores_gemma":[0.0004360014,0.00008747574,0.00002681462,0.003015877,0.0001860222,0.004906344,0.00004345286,0.0001181453,0.0006417717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005317756,"about_ca_system_score_gemma":0.0002651845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003185133,"about_ca_topic_score_gemma":0.000007708018,"domain_scores_codex":[0.998718,0.00001492707,0.000237998,0.000178866,0.0005784372,0.0002717357],"domain_scores_gemma":[0.9993376,0.00002845538,0.0001426439,0.00005548117,0.0003101466,0.0001257457],"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":[0.0001242521,0.0001867174,0.2474495,0.0001660428,0.00003094747,0.000009287553,0.2556137,0.0001523991,0.001470877,0.2244132,0.2039613,0.06642173],"study_design_scores_gemma":[0.001079016,0.0007061611,0.2015848,0.0003419783,0.00005395047,0.00002456224,0.07123486,0.004052417,0.02906813,0.008045971,0.6824805,0.001327664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692698,0.000006923984,0.00006484226,0.01125495,0.0007305301,0.0004434003,0.000003714551,0.0009325097,0.01729331],"genre_scores_gemma":[0.9966277,0.00001971682,0.0002910038,0.0003709059,0.0003362871,0.00002921344,0.00003865604,0.000008608914,0.002277843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785192,"threshold_uncertainty_score":0.8567436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822279403478282,"score_gpt":0.2950298371143807,"score_spread":0.2668070430795979,"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."}}