{"id":"W4388050750","doi":"10.26686/wgtn.24456847","title":"Translating Instagram Poetry into Arabic: A Case Study of Rupi Kaur","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poetry; Context (archaeology); Literature; Art; Arabic; Arabic literature; Translation studies; Multimodality; Linguistics; Sociology; History; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003535923,0.001210957,0.0007028094,0.001349731,0.01821663,0.004881288,0.002174289,0.003059605,0.005228412],"category_scores_gemma":[0.009307739,0.0004290362,0.0004744131,0.001848979,0.005802881,0.002856675,0.004037497,0.003528637,0.00204908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003642746,"about_ca_system_score_gemma":0.002647808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009845397,"about_ca_topic_score_gemma":0.02190831,"domain_scores_codex":[0.9963464,0.002534,0.0001217364,0.0002197845,0.0004126416,0.0003654264],"domain_scores_gemma":[0.9964766,0.001814157,0.0003460451,0.0002281999,0.0005777531,0.000557234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008887189,0.0002281989,0.001839621,0.0003109774,0.00001041094,0.03041114,0.9367571,0.000179261,0.001851501,0.005674744,0.003012253,0.01963603],"study_design_scores_gemma":[0.000007921832,0.0001327201,0.002145162,0.0001974043,0.00001777433,0.008433443,0.9319707,0.0004990484,0.00188074,0.0007701853,0.05390625,0.00003860548],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506209,0.0009970033,0.002277114,0.005150898,0.0001608585,0.000233126,0.00006495951,0.0000650911,0.04043011],"genre_scores_gemma":[0.9752304,0.001306506,0.003930071,0.001102765,0.00006129981,0.0001389922,0.0000541019,0.0001466683,0.01802921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01821663,"threshold_uncertainty_score":0.02643013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08200796412899869,"score_gpt":0.3442899923856602,"score_spread":0.2622820282566615,"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."}}