{"id":"W2093011053","doi":"10.7202/1021224ar","title":"Translating Political Metaphors: Conflict Potential of zenci [negro] in Turkish-English","year":2013,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Ideology; Politics; Metaphor; Linguistics; Political science; Interpreter; Sociology; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005898459,0.0002163378,0.0005479512,0.0002210542,0.0002991558,0.0003643304,0.0002069997,0.00005074627,0.004123028],"category_scores_gemma":[0.0000802811,0.0001588607,0.0003964846,0.0001000428,0.0004264984,0.001264288,0.00001132162,0.0004876049,0.0000187384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002037006,"about_ca_system_score_gemma":0.00003546043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009625885,"about_ca_topic_score_gemma":0.00048936,"domain_scores_codex":[0.9979373,0.0002840113,0.0007604979,0.0001815474,0.0003700137,0.0004666462],"domain_scores_gemma":[0.9989117,0.0002284459,0.0002327015,0.0001244695,0.0003402342,0.0001623951],"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":[0.0002447607,0.0008998937,0.003777043,0.000371854,0.006102173,0.0001009302,0.1145212,0.0002881916,0.004105807,0.435002,0.001755532,0.4328306],"study_design_scores_gemma":[0.002390326,0.0004614963,0.01179169,0.0001158144,0.00274698,0.0001564936,0.02517501,0.0002465129,0.0008784543,0.03514884,0.9201233,0.0007651019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511565,0.0822417,0.001061367,0.003435633,0.002295905,0.0005148856,0.0000738871,0.00008395052,0.05913613],"genre_scores_gemma":[0.9959455,0.002116513,0.0007713304,0.0001395284,0.00075807,0.00001130943,0.000002949524,0.00002463571,0.0002301394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9183677,"threshold_uncertainty_score":0.9967873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0684898853765959,"score_gpt":0.2731865835122971,"score_spread":0.2046966981357012,"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."}}