{"id":"W4316143788","doi":"10.30816/iconn5/2019/12","title":"Multiculturalism reflected in nicknames given to Romanian politicians","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Onomastics \"Name and Naming\"","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Pragmatics; Romanian; Linguistics; Multiculturalism; Focus (optics); Perspective (graphical); Politics; Character (mathematics); Sociology; Computer science; Political science; Artificial intelligence; Philosophy; Mathematics; Law; Pedagogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003400283,0.0002217043,0.0002650938,0.0007386692,0.004728023,0.003449284,0.0004210387,0.0008129888,0.004045721],"category_scores_gemma":[0.008743975,0.0002016499,0.0001752237,0.0009687921,0.005744206,0.003181771,0.003080712,0.001575541,0.0005559543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120354,"about_ca_system_score_gemma":0.0006659304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002180107,"about_ca_topic_score_gemma":0.003805309,"domain_scores_codex":[0.9953007,0.003139295,0.0001780101,0.0004553364,0.000492589,0.000434098],"domain_scores_gemma":[0.9951041,0.001905821,0.001292933,0.0006438892,0.0007561661,0.0002971356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001489154,0.00003947727,0.01932147,0.0001198968,0.00002148812,0.001268863,0.8270268,0.00006192903,0.005455922,0.1203529,0.001970354,0.02421199],"study_design_scores_gemma":[0.00002217908,0.00009952664,0.0560048,0.0002087275,0.00005641206,0.005091805,0.7482207,0.0007960692,0.007534585,0.01571416,0.1661513,0.00009977011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8993804,0.0003522835,0.002721844,0.002000542,0.0001930277,0.00001588491,0.00003872483,0.00002993262,0.09526739],"genre_scores_gemma":[0.9967866,0.0000515131,0.0001998205,0.00009757567,0.00001673973,0.000003787871,0.000006614025,0.00001132889,0.002826103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004728023,"threshold_uncertainty_score":0.0179826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03893616136378142,"score_gpt":0.2481376995790811,"score_spread":0.2092015382152997,"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."}}