{"id":"W4313421611","doi":"10.1002/tesq.3206","title":"Gigification of English Language Instructor Work in Higher Education: Precarious Employment and Magic Time","year":2022,"lang":"en","type":"article","venue":"TESOL Quarterly","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sociology; Pedagogy; Context (archaeology); Curriculum; English for academic purposes; Thematic analysis; Higher education; Work (physics); Psychology; Public relations; Political science; Qualitative research; Engineering; Social science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004860115,0.0004261926,0.0004116697,0.001725151,0.01575922,0.008671882,0.001500352,0.001520784,0.002542335],"category_scores_gemma":[0.009302191,0.0002789935,0.0002373525,0.001303514,0.03873433,0.003818396,0.007417678,0.003217611,0.0001371583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01512301,"about_ca_system_score_gemma":0.01195225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2033535,"about_ca_topic_score_gemma":0.2463588,"domain_scores_codex":[0.9946811,0.002417984,0.0001274008,0.0003299519,0.001251337,0.001192269],"domain_scores_gemma":[0.9921046,0.004216689,0.001024742,0.0003800506,0.0007865658,0.001487207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001863738,0.00001180234,0.003167043,0.00002254218,0.000002089025,0.000449512,0.9753963,0.00003775425,0.0004102119,0.01661921,0.0004460689,0.003418779],"study_design_scores_gemma":[0.000001981827,0.00001181164,0.00334058,0.00007988046,0.000002467068,0.0001480371,0.9769443,0.0001000157,0.0001245242,0.00175159,0.01748117,0.00001371683],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601716,0.0003897902,0.001821049,0.004363057,0.00007561121,0.00001584695,0.00001843573,0.00002004251,0.03312459],"genre_scores_gemma":[0.9981778,0.00009234186,0.000133476,0.00018181,0.000008461003,0.000004789589,0.000004391956,0.000008729085,0.001388131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9842408,"threshold_uncertainty_score":0.4043397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580003694364055,"score_gpt":0.2888106285139296,"score_spread":0.2730105915702891,"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."}}