{"id":"W1625595091","doi":"","title":"“Deceptive Equivalence” in C-E Fictional Translation: A Literary Stylistic Approach","year":2014,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equivalence (formal languages); Literary translation; Linguistics; Stylistics; Target text; Literary criticism; Dynamic and formal equivalence; Translation studies; Applied linguistics; Literature; Functional equivalence; Contrastive linguistics; Philosophy; Art; Machine translation","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":[0.01398128,0.0008143077,0.000473533,0.004682614,0.007280733,0.01282833,0.002095168,0.005055319,0.00459147],"category_scores_gemma":[0.04496838,0.0004239331,0.0004040404,0.003429891,0.03754038,0.01236328,0.008381535,0.004638182,0.0006418983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006298073,"about_ca_system_score_gemma":0.003254786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176277,"about_ca_topic_score_gemma":0.003160043,"domain_scores_codex":[0.9732999,0.02045378,0.001009385,0.0009717781,0.003583091,0.0006819861],"domain_scores_gemma":[0.9482756,0.03978691,0.002515647,0.004983312,0.003868231,0.0005703403],"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":[0.00002944975,0.00004345503,0.0005474045,0.000128297,0.000006179584,0.0006908046,0.06294676,0.0004029516,0.0002968706,0.9138371,0.002219454,0.0188513],"study_design_scores_gemma":[0.00003470974,0.00009272418,0.002615416,0.001399046,0.00002332127,0.002450926,0.06622083,0.01043662,0.002990573,0.7659226,0.1477421,0.00007115209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1247143,0.006908636,0.1895932,0.05510264,0.001274776,0.0003258448,0.0001056203,0.0002309876,0.6217441],"genre_scores_gemma":[0.970532,0.001100375,0.01800448,0.001280974,0.0003192516,0.0001149868,0.00003280135,0.00005687849,0.008558243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01398128,"threshold_uncertainty_score":0.07394099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05857070914712131,"score_gpt":0.3189344575827324,"score_spread":0.2603637484356111,"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."}}