{"id":"W2069149039","doi":"10.7202/009369ar","title":"Diglossia in Literary Translation: Accommodation into Translation Theory","year":2004,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diglossia; Equivalence (formal languages); Variety (cybernetics); Linguistics; Variation (astronomy); Translation studies; Dynamic and formal equivalence; Context (archaeology); Accommodation; Sociology; Target text; Sociolinguistics; Computer science; History; Psychology; Philosophy; Neuroscience of multilingualism; Artificial intelligence; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008658757,0.0002096281,0.0003040929,0.0002552649,0.0006372189,0.0005143592,0.0001621116,0.00004977695,0.001026921],"category_scores_gemma":[0.00001252309,0.0001640914,0.0002419568,0.0001501343,0.000221068,0.002595252,0.000004234228,0.000395141,0.00002776067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004472153,"about_ca_system_score_gemma":0.00004405228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005931795,"about_ca_topic_score_gemma":0.001202963,"domain_scores_codex":[0.9984337,0.0002933455,0.0005581345,0.0001938276,0.0002874554,0.0002335552],"domain_scores_gemma":[0.9993104,0.0002283158,0.000177628,0.0001246597,0.00008053562,0.00007850848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001586487,0.0001331094,0.0001991592,0.00003900021,0.0003744388,0.00001551193,0.06674352,0.0005627821,0.0001272532,0.07607649,0.00002309233,0.855547],"study_design_scores_gemma":[0.001210497,0.00009256021,0.001817579,0.00004842258,0.0003997201,0.0000378903,0.0006762195,0.00002623849,0.00008014987,0.5029746,0.4924106,0.0002255142],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2426774,0.6263992,0.07139547,0.01898777,0.002609138,0.000862428,0.00005642862,0.0002471472,0.03676507],"genre_scores_gemma":[0.9802878,0.01428582,0.004191915,0.0002773583,0.0007419368,0.00001848205,0.00002638527,0.00003320861,0.0001371184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8553215,"threshold_uncertainty_score":0.9998863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08868135956893161,"score_gpt":0.2928275444495015,"score_spread":0.2041461848805699,"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."}}