{"id":"W4400441517","doi":"10.5465/amproc.2024.14354symposium","title":"Challenges and Opportunities for Organizations to Increase Representation","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Kellogg's (Canada)","funders":"","keywords":"Representation (politics); Business; Knowledge management; Computer science; Process management; Political science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.1008723,0.0008381631,0.0008748715,0.002524153,0.01284759,0.02820986,0.004529126,0.01142643,0.0119409],"category_scores_gemma":[0.1093138,0.0006364456,0.001187756,0.002578003,0.01497481,0.02403178,0.04228485,0.01180828,0.003251323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007837584,"about_ca_system_score_gemma":0.02633258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002595219,"about_ca_topic_score_gemma":0.002113265,"domain_scores_codex":[0.8771436,0.08352316,0.002949477,0.004660008,0.01629788,0.01542598],"domain_scores_gemma":[0.8722702,0.04713912,0.008511674,0.01387252,0.02082245,0.03738401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001213507,0.0006458435,0.00663607,0.0006095739,0.00005588168,0.0003592184,0.06911176,0.001134065,0.00111941,0.4939045,0.1207869,0.3055155],"study_design_scores_gemma":[0.00008959961,0.000435993,0.003404217,0.0008578775,0.00001814878,0.000248888,0.07669172,0.001186631,0.0006022186,0.1786481,0.7377261,0.00009051884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03819308,0.004128718,0.0184194,0.8570812,0.00310013,0.0001944403,0.0000507733,0.0004705372,0.07836171],"genre_scores_gemma":[0.8297045,0.004386886,0.0337376,0.09570941,0.004073374,0.0008530345,0.0001619503,0.0004040069,0.03096935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1008723,"threshold_uncertainty_score":0.5334702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06648191253719264,"score_gpt":0.2807888738834963,"score_spread":0.2143069613463037,"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."}}