{"id":"W3135370174","doi":"10.1177/00187267211002239","title":"Interplay for change in equality, diversity and inclusion studies","year":2021,"lang":"en","type":"article","venue":"Human Relations","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inclusion (mineral); Diversity (politics); Ideology; Sociology; Epistemology; Inequality; Action (physics); Ontology; Inclusion–exclusion principle; Organizational change; Positive economics; Social psychology; Political science; Social science; Public relations; Psychology; Politics; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.06715521,0.000611428,0.001843898,0.005264604,0.02153114,0.02659989,0.003229092,0.008212632,0.01028013],"category_scores_gemma":[0.061,0.0006965671,0.001187987,0.004969481,0.109936,0.03467547,0.03455644,0.01095683,0.0004920299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01698224,"about_ca_system_score_gemma":0.01433522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004107816,"about_ca_topic_score_gemma":0.004553958,"domain_scores_codex":[0.903389,0.07625622,0.001835705,0.005056027,0.008050852,0.005412151],"domain_scores_gemma":[0.9060785,0.07678033,0.004086281,0.005502143,0.004241753,0.003311008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002059816,0.00003771987,0.0009860211,0.0001296793,0.00001301286,0.0001661469,0.0788661,0.0001010211,0.0001294972,0.9116411,0.0006706507,0.007238363],"study_design_scores_gemma":[0.00002258921,0.00004704545,0.00141947,0.0006879214,0.00002310546,0.0001627986,0.09129742,0.0003464426,0.0003290858,0.8506679,0.05496104,0.00003520354],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1686587,0.02124043,0.09075486,0.2556407,0.001844224,0.0005589001,0.0001210193,0.0001143333,0.4610668],"genre_scores_gemma":[0.9858384,0.001217425,0.005954702,0.003888373,0.0001767929,0.0002426463,0.00001802334,0.00003124187,0.002632491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06715521,"threshold_uncertainty_score":0.3551549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4593148496416066,"score_gpt":0.4531439833157368,"score_spread":0.006170866325869828,"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."}}