{"id":"W4379386855","doi":"10.32942/x2ns3k","title":"Academic publishing requires linguistically inclusive policies","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Directorate for Biological Sciences; Australian Research Council; University of Queensland","keywords":"Publishing; Globe; Diversity (politics); Linguistic diversity; Political science; Equity (law); Public relations; Sociology; Library science; Computer science; Linguistics; Psychology","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":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008507858,0.0003383738,0.000403903,0.0003928902,0.0006437746,0.002993335,0.0008302617,0.0004350376,0.004036068],"category_scores_gemma":[0.005202133,0.0002866096,0.0001920728,0.00003603023,0.0002429767,0.0002980395,0.00223112,0.003958112,0.0004826281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000954527,"about_ca_system_score_gemma":0.0001654789,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02767477,"about_ca_topic_score_gemma":0.004520646,"domain_scores_codex":[0.9979176,0.0001372774,0.0005108852,0.0005402124,0.0003934235,0.0005005941],"domain_scores_gemma":[0.9983289,0.0006067869,0.0002626484,0.0004543194,0.0002218239,0.0001255481],"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":[0.000007188125,0.00001429183,0.0001785006,0.0001868371,0.0001308642,0.00005350386,0.2037046,0.0001576294,0.000007853027,0.7305688,0.0561659,0.008824085],"study_design_scores_gemma":[0.000279472,0.0000519382,0.0003250738,0.0009900094,0.000139479,0.000006680747,0.08063787,0.001246749,0.00002572767,0.1080111,0.8071416,0.001144334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1081851,0.001037207,0.0002060041,0.01126065,0.006472493,0.0002876566,0.0001371201,0.00277543,0.8696383],"genre_scores_gemma":[0.8270589,0.00006008132,0.0002553895,0.003660476,0.01347544,0.00003910063,0.0003401813,0.000120339,0.1549902],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7509757,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08787130597949076,"score_gpt":0.3299558067447848,"score_spread":0.242084500765294,"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."}}