{"id":"W4318486537","doi":"10.32920/21977042.v1","title":"Standardising public service: the experiences of call-centre workers in the Canadian federal government","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Emotional Labor in Professions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Call centre; Public sector; Government (linguistics); Public administration; Public service; Private sector; Work (physics); Business; Public relations; New public management; Service (business); Political science; Economic growth; Economics; Marketing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006656236,0.0006920561,0.0008475871,0.001556738,0.08099189,0.01178878,0.003808069,0.005955,0.006762108],"category_scores_gemma":[0.01421249,0.0007815642,0.0004938832,0.003619155,0.03165581,0.004135476,0.009694266,0.01002979,0.0006753171],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1272234,"about_ca_system_score_gemma":0.1337779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759759,"about_ca_topic_score_gemma":0.98829,"domain_scores_codex":[0.984018,0.004476226,0.0002292827,0.0007572591,0.002797217,0.007721895],"domain_scores_gemma":[0.9877772,0.00239914,0.0006680833,0.0003396884,0.002548703,0.006267142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003507574,0.00003991459,0.001758619,0.00003955955,0.000003409955,0.0005592624,0.9825704,0.00006780124,0.0002564639,0.004009278,0.005864123,0.004796142],"study_design_scores_gemma":[0.000002678149,0.00001566881,0.001456481,0.00004386815,0.000002426351,0.00006790007,0.9674904,0.00004219185,0.00004566606,0.0001896607,0.03062151,0.00002149427],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165768,0.001338965,0.0006651632,0.02950378,0.0004502037,0.0001249864,0.0001700241,0.00004979141,0.05112023],"genre_scores_gemma":[0.9823897,0.0006265956,0.0002485117,0.003459401,0.00004861928,0.0000308729,0.00004820974,0.00004966747,0.01309836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8727766,"threshold_uncertainty_score":0.9230745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07997978521788135,"score_gpt":0.3571988622334199,"score_spread":0.2772190770155386,"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."}}