{"id":"W1701398417","doi":"","title":"Politeness Principles Difference in Appellations Between English and Chinese","year":2013,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politeness; Politeness maxims; Interpersonal communication; Linguistics; Intercultural communication; Politeness theory; Psychology; Reflection (computer programming); Speech act; Sociology; Social psychology; Communication; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001397012,0.0001640715,0.0001869297,0.0005297488,0.001111009,0.001774486,0.0001738026,0.0002693068,0.004053402],"category_scores_gemma":[0.00665142,0.0001000863,0.0001708853,0.0004694938,0.00157133,0.001155922,0.0006042986,0.0005606854,0.0003822392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009448112,"about_ca_system_score_gemma":0.0009158223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009003994,"about_ca_topic_score_gemma":0.01099336,"domain_scores_codex":[0.9984168,0.0004637729,0.0001630558,0.0001524955,0.0005218194,0.0002820677],"domain_scores_gemma":[0.9970751,0.00125104,0.0004300734,0.0001684396,0.0008498272,0.0002255232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004889177,0.000194627,0.2366598,0.0006031938,0.00008170019,0.001697403,0.5338709,0.0002541044,0.03763353,0.03696245,0.003801195,0.1477521],"study_design_scores_gemma":[0.00004445043,0.0003282813,0.7533131,0.0002220293,0.00009736024,0.001780686,0.1818969,0.002122374,0.007080934,0.005438016,0.04756009,0.0001157084],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508736,0.0002685754,0.001265425,0.0003901984,0.00003029156,0.00003777994,0.00003010566,0.00001176519,0.04709227],"genre_scores_gemma":[0.9972106,0.00008730775,0.0002533968,0.00005619648,0.00000729216,0.000009312506,0.00001852986,0.000006712326,0.00235083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009003994,"threshold_uncertainty_score":0.01790315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109380042790348,"score_gpt":0.3183364910851016,"score_spread":0.2772426906571982,"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."}}