{"id":"W2800837525","doi":"10.5931/djim.v14i0.7873","title":"Turning Exceptions into the Rule: Bridging the Gender Gap in Corporate Boardrooms and the C-Suites of Canadian Corporations","year":2018,"lang":"en","type":"article","venue":"Dalhousie Journal of Interdisciplinary Management","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Bridging (networking); Bridge (graph theory); Representation (politics); Accounting; Business; Subject (documents); Law and economics; Political science; Public relations; Law; Sociology; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003988734,0.0000974949,0.0001704991,0.0003349935,0.001728868,0.0001409495,0.0006284066,0.00003624943,0.00008654149],"category_scores_gemma":[0.0000860216,0.00005274823,0.00009590084,0.0006702195,0.001322304,0.0002683987,0.0005059199,0.0002557371,0.000007352801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248426,"about_ca_system_score_gemma":0.0001307973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01427476,"about_ca_topic_score_gemma":0.1472859,"domain_scores_codex":[0.9983584,0.0005006976,0.000429086,0.0001163515,0.0003683683,0.0002270443],"domain_scores_gemma":[0.9987373,0.0002012369,0.0005531944,0.0002122186,0.0002055176,0.00009056943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001845955,0.0000938099,0.02195112,0.00004538248,0.0003369532,0.00005397077,0.832786,0.0007466996,0.00004271865,0.1233153,0.01431742,0.006126035],"study_design_scores_gemma":[0.0013568,0.0001628417,0.2628472,0.0001829635,0.0002599289,0.00002385151,0.634975,0.001083178,0.00002445361,0.08726128,0.01159274,0.0002298422],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120886,0.0002706635,0.001443588,0.04704021,0.0006320854,0.0004446147,0.00000810721,0.000008337654,0.03806376],"genre_scores_gemma":[0.9984344,0.0001782328,0.0002234274,0.0004291229,0.0002542793,0.000004434342,0.000001599331,0.000005407377,0.0004690625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.240896,"threshold_uncertainty_score":0.9995707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09123377911948408,"score_gpt":0.3083375210705217,"score_spread":0.2171037419510376,"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."}}