{"id":"W4382939176","doi":"10.1111/gwao.13035","title":"At the intersection of science, technology, engineering, and mathematics and business management in Canadian higher education: An intentional equity, diversity, and inclusion framework","year":2023,"lang":"en","type":"article","venue":"Gender Work and Organization","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Cape Breton University","funders":"","keywords":"Intersectionality; Scholarship; Inclusion (mineral); Higher education; Sociology; Pedagogy; Diversity (politics); Sociology of Education; Public relations; Gender studies; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004702112,0.00004704081,0.00005165502,0.0003068337,0.002433986,0.00004177339,0.0001054312,0.000067632,0.00003231757],"category_scores_gemma":[0.0000595945,0.00004379183,0.0000028844,0.002175678,0.0003818831,0.0001763856,0.003589158,0.00005053423,6.309139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232778,"about_ca_system_score_gemma":0.00006783101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004484378,"about_ca_topic_score_gemma":0.007022515,"domain_scores_codex":[0.9994786,0.00001545113,0.00007095596,0.0001400381,0.0001674331,0.0001274996],"domain_scores_gemma":[0.9997125,0.00001458903,0.00003072489,0.00006173948,0.0001098194,0.00007067006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002468804,0.00002790446,0.6012439,0.00007258447,0.000009923129,7.525805e-7,0.07392683,0.00002307736,0.00003680139,0.3201214,0.0001047242,0.004429602],"study_design_scores_gemma":[0.00008421503,0.000006375057,0.9365259,0.0000352168,0.00001676117,0.00000120277,0.02285796,0.00006095912,0.0000145616,0.0395681,0.0007566338,0.00007214257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996771,0.0001180166,0.0001909959,0.001948965,0.0001958213,0.000119834,0.000001598548,0.00002278914,0.0006309284],"genre_scores_gemma":[0.9990765,0.0002249876,0.0004481491,0.00005592576,0.00001893143,9.016669e-7,0.000006613363,0.000002830342,0.0001651906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3352819,"threshold_uncertainty_score":0.9988647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430574424012443,"score_gpt":0.2827750002482337,"score_spread":0.2384692560081093,"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."}}