{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166053,0.0001122158,0.0001415826,0.0001591508,0.000255208,0.0001643203,0.0004830603,0.00002021278,0.0004561623],"category_scores_gemma":[0.001207128,0.00009364492,0.00004683817,0.00004582534,0.0001047465,0.00009446689,0.0003997999,0.0001835509,0.000008347578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302183,"about_ca_system_score_gemma":0.00002676559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009764584,"about_ca_topic_score_gemma":0.0005427402,"domain_scores_codex":[0.9991432,0.000007648376,0.0002030147,0.0001973757,0.0002904266,0.0001582977],"domain_scores_gemma":[0.9988045,0.0000343534,0.0001306823,0.0000544188,0.0009284734,0.00004753809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001225286,0.0002400082,0.01454492,0.00005174065,0.00007515764,0.000003839772,0.1065578,0.00001767599,0.000627063,0.8706551,0.006837284,0.0002669471],"study_design_scores_gemma":[0.004192125,0.001774483,0.07734998,0.0009809063,0.0002888499,0.00001295144,0.6834182,0.01362638,0.003242311,0.06481899,0.148242,0.002052926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559059,0.00001364141,0.000001132132,0.001062517,0.002486997,0.0001563438,0.0001688566,0.00002032583,0.04018429],"genre_scores_gemma":[0.9944526,0.000007616363,0.00007670953,0.0004863192,0.0007663475,0.00001177258,0.000008354887,0.000007871737,0.004182402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.805836,"threshold_uncertainty_score":0.4994657,"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."}}