{"id":"W4221148956","doi":"","title":"Fictionalizing the Wiradjuri dictionary: Tara June Winch's linguistic solution to literary domination in The Yield: A transnational and decolonial perspective on relations of power in the literary world","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Winch; Yield (engineering); Linguistics; Artificial intelligence; Computer science; Natural language processing; Philosophy; Engineering; Physics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214595,0.0007195543,0.0005075374,0.002945862,0.004394066,0.006206254,0.0008098365,0.001673378,0.00657759],"category_scores_gemma":[0.003560775,0.0003162345,0.0001781056,0.003174508,0.008291531,0.007746665,0.002835823,0.004408859,0.001208186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0031781,"about_ca_system_score_gemma":0.002801716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007605887,"about_ca_topic_score_gemma":0.01892006,"domain_scores_codex":[0.9992169,0.0003632784,0.000047003,0.0001213619,0.0001643798,0.00008695266],"domain_scores_gemma":[0.9992691,0.0003984913,0.00006388688,0.0000810241,0.0001448917,0.00004266976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001194906,0.000006956011,0.00007069709,0.00006875992,0.000002055532,0.000030656,0.01327155,0.00005963309,0.0001509615,0.9544641,0.01924611,0.01261652],"study_design_scores_gemma":[0.000008502315,0.00001305504,0.0006401272,0.0002721339,0.000009698943,0.0001401487,0.005706239,0.0004204033,0.000447107,0.3568162,0.6355088,0.00001754946],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03902851,0.05910676,0.04947445,0.09658712,0.01161657,0.0001613353,0.0007049445,0.0003593921,0.7429609],"genre_scores_gemma":[0.6742635,0.0243514,0.01578102,0.006738747,0.003439188,0.0002365848,0.0004038237,0.0009720746,0.2738138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007605887,"threshold_uncertainty_score":0.02305889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175091825638688,"score_gpt":0.2655436734865979,"score_spread":0.243792755230211,"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."}}