{"id":"W2991296245","doi":"10.26686/pq.v15i4.5924","title":"From Mandarin to Valet Public Service?","year":2019,"lang":"en","type":"article","venue":"Policy Quarterly","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"Department of the Prime Minister and Cabinet","keywords":"Managerialism; Public sector; Government (linguistics); Public administration; Commission; Service (business); State (computer science); Public service; Business; Public relations; Private sector; Mandarin Chinese; Management; Political science; Marketing; Economics; Finance; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003228018,0.0001896957,0.0002704387,0.0003553351,0.004852294,0.005814612,0.001072529,0.00396389,0.01646254],"category_scores_gemma":[0.006192286,0.0002129052,0.0002475126,0.0005693275,0.006425511,0.005100234,0.004016896,0.006458699,0.001849607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01337266,"about_ca_system_score_gemma":0.01606949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09795823,"about_ca_topic_score_gemma":0.1163498,"domain_scores_codex":[0.996487,0.0009673921,0.00008940793,0.0004859137,0.000576214,0.001393987],"domain_scores_gemma":[0.9982873,0.0002572706,0.0001357224,0.000131336,0.000279719,0.0009087908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000215275,0.000144345,0.004272582,0.0001937356,0.0000117638,0.0004875594,0.01132312,0.0001162529,0.0008698614,0.7545386,0.1544802,0.07334672],"study_design_scores_gemma":[0.0000321598,0.0001116471,0.01298169,0.0004339619,0.000006954447,0.0001851246,0.01127242,0.000159063,0.0002651362,0.02773052,0.9467927,0.00002858495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08254588,0.01034519,0.0008851733,0.5181051,0.005513201,0.00004376121,0.0001994082,0.000108403,0.3822539],"genre_scores_gemma":[0.7141601,0.003157861,0.000843233,0.1299058,0.0009504329,0.00008726704,0.0001780825,0.0001081578,0.1506091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09795823,"threshold_uncertainty_score":0.1947761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948796639108871,"score_gpt":0.3169094374524262,"score_spread":0.2974214710613375,"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."}}