{"id":"W4307488132","doi":"10.4337/9781800379008.00023","title":"Diversity, equity and inclusive lessons from a workplace in the Canadian Arctic","year":2022,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultural diversity; Multiculturalism; Equity (law); Workforce; Indigenous; Public relations; Diversity (politics); Inclusion (mineral); Sociology; Context (archaeology); Empowerment; Political science; Gender studies; Geography; Pedagogy; Ecology; Anthropology","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":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003403624,0.0003643329,0.0005878924,0.0003697963,0.02707928,0.0002642792,0.001411347,0.0008544463,0.001912777],"category_scores_gemma":[0.0005190742,0.0003187742,0.0001068496,0.000045924,0.0001793617,0.0002249007,0.02818851,0.004911768,0.00007063751],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004646879,"about_ca_system_score_gemma":0.003178043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9124861,"about_ca_topic_score_gemma":0.9978462,"domain_scores_codex":[0.9963905,0.0004476805,0.0004624986,0.0006036296,0.0006565565,0.001439183],"domain_scores_gemma":[0.9972599,0.001330389,0.0003674582,0.0005503743,0.0002315919,0.0002602821],"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":[0.000068488,0.00001803875,0.01041506,0.0001918848,0.0002983109,0.0004981841,0.4755774,0.000002626585,1.266271e-7,0.3778305,0.1288414,0.006257905],"study_design_scores_gemma":[0.000464181,0.00005359552,0.004023271,0.0001659222,0.00009008784,0.000005093807,0.0154744,0.000002251512,1.49256e-8,0.1172606,0.8621143,0.0003462934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001136071,0.0004202246,0.000001164255,0.03370205,0.00186489,0.001369634,0.0004165692,0.00004959174,0.9610398],"genre_scores_gemma":[0.5926682,0.0002062369,0.00006809152,0.03637558,0.001869948,0.0003122123,0.0004147304,0.0001389417,0.367946],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7332729,"threshold_uncertainty_score":0.9999264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0752379688304635,"score_gpt":0.3493907862886073,"score_spread":0.2741528174581438,"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."}}