{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001793578,0.00008255972,0.0001099327,0.0001110815,0.0002049227,0.0002413395,0.0003451994,0.00005815648,0.001879001],"category_scores_gemma":[0.0000225543,0.00007713927,0.000037831,0.0005160733,0.00002358556,0.000237393,0.00002233485,0.00006519052,0.001200364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008994938,"about_ca_system_score_gemma":0.0002237176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2207666,"about_ca_topic_score_gemma":0.05898451,"domain_scores_codex":[0.9989167,0.00008203738,0.000125693,0.0001998734,0.0002849907,0.0003906864],"domain_scores_gemma":[0.9993113,0.00004165026,0.00003518062,0.0002759652,0.00008441041,0.0002514376],"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":[0.000007095485,0.00008314398,0.007436176,0.000002845549,0.00003373109,0.000001530075,0.1005287,8.56916e-7,0.0006196712,0.8343923,0.01135275,0.04554118],"study_design_scores_gemma":[0.0003169794,0.00009463794,0.07750555,0.000006739375,0.000003972467,5.698889e-8,0.00555724,0.000005288141,0.00001382303,0.01332578,0.9030339,0.0001360672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8583466,0.000006473006,0.00002688097,0.06997504,0.0003428375,0.0002117772,0.00007984987,0.00007975011,0.07093082],"genre_scores_gemma":[0.9772644,0.000001829133,0.0001304275,0.01384713,0.001067733,0.00001326934,0.00001389664,0.00001090131,0.00765041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8916811,"threshold_uncertainty_score":0.9995773,"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."}}