{"id":"W4406931070","doi":"10.52034/lans-tts.v23i.786","title":"Social justice and translator training and education in a time of (non-)equitable tech","year":2024,"lang":"en","type":"article","venue":"Linguistica Antverpiensia New Series – Themes in Translation Studies","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université de Saint-Boniface","funders":"","keywords":"Training (meteorology); Social justice; Economic Justice; Sociology; Pedagogy; Mathematics education; Political science; Psychology; Social science; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003130637,0.000158344,0.0003308111,0.0002361876,0.000212762,0.0001055295,0.00005225354,0.00005234628,0.00008180617],"category_scores_gemma":[0.0001609788,0.0001459065,0.00003393057,0.0001005551,0.0002805227,0.0001764429,0.00001687387,0.0002164114,0.000001634063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001544373,"about_ca_system_score_gemma":0.0001153584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482876,"about_ca_topic_score_gemma":0.0003776024,"domain_scores_codex":[0.999042,0.0000489971,0.0003310735,0.0002453821,0.0001225395,0.000210019],"domain_scores_gemma":[0.9994845,0.0003311076,0.00004503937,0.00006001079,0.00005070422,0.00002860823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006210637,0.00003266347,0.0002048741,0.0007320664,0.00007560076,0.00001257689,0.7633562,0.000006630442,0.0002990686,0.04807225,0.0002296733,0.1869163],"study_design_scores_gemma":[0.002577437,0.0004777394,0.002348715,0.003501304,0.001011442,0.00006705441,0.6982216,0.004848089,0.000369411,0.04752909,0.2377526,0.001295552],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144363,0.05186731,0.0001121184,0.001295941,0.0007742832,0.0003227845,0.00002386738,0.0001396062,0.0310278],"genre_scores_gemma":[0.995813,0.0003832472,0.0009080983,0.00007301487,0.0005370547,0.000008324015,0.000008580772,0.00002121221,0.002247481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2375229,"threshold_uncertainty_score":0.5949894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560206889676896,"score_gpt":0.3281411007337272,"score_spread":0.2825390318369583,"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."}}