{"id":"W3004289560","doi":"10.1108/gm-11-2019-0215","title":"Building gender-aware ecosystems for learning, leadership, and growth","year":2020,"lang":"en","type":"article","venue":"Gender in Management An International Journal","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scholarship; Originality; Informal learning; Social capital; Value (mathematics); Experiential learning; Observational learning; Social learning; Leadership development; Knowledge management; Public relations; Psychology; Sociology; Marketing; Business; Political science; Pedagogy; Economic growth; Social science; Economics; Qualitative research; Computer science","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":[0.003670735,0.0003041516,0.0002343574,0.001003428,0.004902888,0.007112971,0.0008026253,0.0006843944,0.00462981],"category_scores_gemma":[0.003537168,0.0001819541,0.0002440596,0.0006186308,0.007501896,0.00432186,0.007596718,0.000841863,0.0005435378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003814579,"about_ca_system_score_gemma":0.006886503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009959375,"about_ca_topic_score_gemma":0.03418842,"domain_scores_codex":[0.998486,0.0007503356,0.00002213657,0.0001294097,0.0002283095,0.0003838971],"domain_scores_gemma":[0.9974378,0.0008225726,0.0004229648,0.0001995063,0.0002186122,0.0008984373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001630571,0.0003217813,0.1632652,0.0005686359,0.00005263396,0.002226435,0.2660454,0.00165615,0.009240936,0.191632,0.01520977,0.3496181],"study_design_scores_gemma":[0.00002272662,0.000328722,0.09608003,0.0009408249,0.00005298625,0.0008434833,0.3659907,0.002408072,0.004241731,0.1429052,0.3860995,0.0000861236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7777493,0.002939448,0.02835961,0.01655262,0.0003762497,0.0002000766,0.0002689993,0.0002854971,0.1732682],"genre_scores_gemma":[0.985853,0.0005677266,0.007776977,0.0005353615,0.0000252991,0.00004874195,0.00003483031,0.0000264879,0.00513163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009959375,"threshold_uncertainty_score":0.02767682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09767713638978236,"score_gpt":0.2914136299533666,"score_spread":0.1937364935635842,"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."}}