{"id":"W7143760247","doi":"10.15002/00030994","title":"Comparison of Interpersonal Consideration in Refusal in Business Communication between Japanese and English : Focusing on Facework and Linguistic Analysis","year":2022,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politeness; Face negotiation theory; Interpersonal communication; Set (abstract data type); Human communication; Focus (optics); Affect (linguistics); Business communication; Speech act","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004248853,0.0001410834,0.0003351892,0.0003894465,0.000665316,0.0001991947,0.000188184,0.00003315966,0.00005952675],"category_scores_gemma":[0.0005339634,0.0001452092,0.00002962476,0.0003240997,0.0006363432,0.0004216759,0.0003064357,0.0003394649,4.16532e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508474,"about_ca_system_score_gemma":0.0001598439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004756827,"about_ca_topic_score_gemma":0.009350559,"domain_scores_codex":[0.9984864,0.0002772946,0.0005364986,0.0002426166,0.0003327795,0.000124424],"domain_scores_gemma":[0.9985113,0.0005542554,0.0002339929,0.0004053911,0.0002600724,0.00003505827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002353426,0.0004141131,0.2812155,0.0001122719,0.0002133442,0.00002555407,0.1864901,0.002991942,0.0001564615,0.5276751,0.00009348149,0.0003768098],"study_design_scores_gemma":[0.004027877,0.000427162,0.595524,0.001581009,0.001029768,0.00004197704,0.339415,0.00668026,0.0008465349,0.003846312,0.04492045,0.001659694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925036,0.001005582,0.00004534217,0.0002707332,0.0002649105,0.0001727886,0.0003844102,0.00002724018,0.005325378],"genre_scores_gemma":[0.9981244,0.00003165135,0.0003196524,0.00002674079,0.0001861742,0.00004318547,0.001225809,0.000007560535,0.0000348297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5238287,"threshold_uncertainty_score":0.7190931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05626753639942349,"score_gpt":0.3327343970326926,"score_spread":0.2764668606332691,"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."}}