{"id":"W3006408586","doi":"10.1080/00220620.2020.1725741","title":"The emotional labour and toll of managerial academia on higher education leaders","year":2020,"lang":"en","type":"article","venue":"Journal of Educational Administration & History","topic":"Emotional Labor in Professions","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Toll; Institution; Higher education; Public relations; Work (physics); Emotional labor; Sociology; Political science; Pedagogy; Medical education; Psychology; Social psychology; Social science; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005974544,0.00009017887,0.0001299802,0.00008007035,0.0003996537,0.00002378077,0.000250799,0.0001434366,0.001384566],"category_scores_gemma":[0.0009269401,0.00007569467,0.00007518568,0.0001418914,0.0005092183,0.0002996864,0.00001295304,0.0004252513,0.00001576999],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004461712,"about_ca_system_score_gemma":0.006061431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000232396,"about_ca_topic_score_gemma":0.00003174468,"domain_scores_codex":[0.9982808,0.000258011,0.0005101769,0.0001250515,0.0007061055,0.0001199109],"domain_scores_gemma":[0.9977648,0.0007378338,0.0006630477,0.00007330318,0.0005521961,0.0002088145],"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":[0.0001151703,0.0001568774,0.0009261536,0.00001658594,0.00002204676,3.335082e-7,0.002520931,0.000007490585,0.0002593502,0.8683426,0.1271522,0.0004802535],"study_design_scores_gemma":[0.0002259733,0.0002021631,0.1103968,0.00006883869,0.00002727828,0.000005434193,0.003873265,0.000001680523,0.00004756928,0.01504346,0.8700072,0.0001003535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3870993,0.002501333,0.00001494419,0.5552984,0.008320262,0.0002559577,0.00002097451,0.00001091718,0.04647793],"genre_scores_gemma":[0.9741101,0.0001722337,0.0005585785,0.00284017,0.003052871,0.0000068316,0.000009202376,0.00000864069,0.01924133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8532991,"threshold_uncertainty_score":0.9995733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06591839486756408,"score_gpt":0.3632679840686161,"score_spread":0.297349589201052,"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."}}