{"id":"W7027886829","doi":"","title":"Discourses on diversity management and inclusion at the public service of Canada","year":2017,"lang":"en","type":"dissertation","venue":"Theses database, Tilburg University","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Public service; Diversity (politics); Public sector; Service (business)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0007591361,0.0001949771,0.000248693,0.0001000674,0.02195996,0.00003380539,0.001544168,0.0001231233,0.0003888831],"category_scores_gemma":[0.00008899684,0.00017604,0.00006395771,0.0001754286,0.0002925428,0.0004275341,0.01014776,0.0002160855,0.000005192037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627225,"about_ca_system_score_gemma":0.0005819376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.705102,"about_ca_topic_score_gemma":0.9760531,"domain_scores_codex":[0.9978408,0.0003296973,0.0001048371,0.0003755795,0.001028348,0.0003207136],"domain_scores_gemma":[0.998408,0.0001887499,0.0003582441,0.0006759837,0.0002000518,0.0001689766],"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":[0.003981686,0.001108728,0.09827305,0.0030908,0.002111448,0.0008329635,0.3919122,0.00002291855,0.00007770884,0.3158938,0.1689996,0.01369504],"study_design_scores_gemma":[0.0006465332,0.00004038299,0.05111461,0.0003136609,0.0004985288,5.582008e-7,0.24598,0.00000588343,0.0001799306,0.00070514,0.6999618,0.0005530442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.789511,0.0001399265,0.000002319172,0.003014278,0.000502339,0.0003702637,0.00163748,0.00002417606,0.2047982],"genre_scores_gemma":[0.9386088,0.001055612,0.000008698128,0.0001549233,0.00003705738,2.640263e-7,0.0009323625,0.000006257296,0.05919599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5309621,"threshold_uncertainty_score":0.997858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07851087069612221,"score_gpt":0.2814399535090693,"score_spread":0.2029290828129471,"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."}}