{"id":"W2984279583","doi":"10.5539/ijel.v9n6p404","title":"Linguistic Representation of Power in Edward Bond’s Lear: A Lexico-Pragmatic Approach to Critical Discourse Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deanship of Scientific Research, Prince Sattam bin Abdulaziz University; Prince Sattam bin Abdulaziz University","keywords":"Lexico; Politeness; Linguistics; Argument (complex analysis); Affect (linguistics); Representation (politics); Sociology; Euphemism; Power (physics); Critical discourse analysis; Perspective (graphical); Psychology; Discourse analysis; Face (sociological concept); Computer science; Philosophy; Politics; Lexicon","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":[0.003028664,0.0004801768,0.0003641538,0.002276321,0.003113053,0.005637275,0.0008402458,0.00117201,0.002388418],"category_scores_gemma":[0.005362327,0.000332429,0.0001891274,0.001309984,0.01760459,0.006649978,0.003249772,0.00211454,0.0003287858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005523284,"about_ca_system_score_gemma":0.001942125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007922846,"about_ca_topic_score_gemma":0.005572458,"domain_scores_codex":[0.9969261,0.00222077,0.0001031859,0.0001997488,0.0004274212,0.0001227136],"domain_scores_gemma":[0.9969426,0.002320084,0.0002394745,0.0001040422,0.0002943677,0.00009947638],"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":[0.00002373497,0.00001087427,0.0003042457,0.0001109027,0.00000423225,0.0001406594,0.07564031,0.0002289661,0.001377654,0.911489,0.0009431458,0.009726266],"study_design_scores_gemma":[0.00002300309,0.00005426545,0.001290382,0.0004723181,0.00001955112,0.0004607164,0.08315597,0.002912271,0.003619142,0.6736309,0.2342859,0.00007570599],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1878826,0.01026195,0.3094492,0.02287797,0.000431885,0.0002954016,0.0001546913,0.0001517419,0.4684946],"genre_scores_gemma":[0.9618878,0.001597664,0.02547216,0.0004677958,0.00007083565,0.000146348,0.0000389197,0.00007370646,0.01024477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007922846,"threshold_uncertainty_score":0.04007441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061708377738142,"score_gpt":0.3369901305184226,"score_spread":0.3163730467410412,"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."}}