{"id":"W2196842383","doi":"","title":"Corpus-based critical discourse analysis as a method of exploring underlying ideologies and self-representation strategies in legal texts","year":2014,"lang":"en","type":"article","venue":"ORCA Online Research @Cardiff (Cardiff University)","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Ideology; Critical discourse analysis; Representation (politics); Linguistics; Self representation; Sociology; Epistemology; Computer science; Natural language processing; Political science; Philosophy; Law; Humanities; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144786,0.0001778676,0.0005259078,0.001343374,0.0004917982,0.0002492224,0.0002109213,0.00006513388,0.00008400249],"category_scores_gemma":[0.0003202466,0.0001704099,0.0002289697,0.0007564331,0.0007076245,0.001097857,0.0001484188,0.0003938639,0.000003789925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007170071,"about_ca_system_score_gemma":0.0001684377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004788745,"about_ca_topic_score_gemma":0.008005712,"domain_scores_codex":[0.9970717,0.001198208,0.0002639624,0.0004241273,0.0006054438,0.0004365846],"domain_scores_gemma":[0.9964375,0.002702516,0.00008762335,0.0002816294,0.0003533893,0.0001372987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007739519,0.0008452279,0.02560361,0.0004398919,0.002674767,0.0002065603,0.01722521,0.008165047,0.0004041372,0.8648607,0.0001059469,0.07869492],"study_design_scores_gemma":[0.004718548,0.001276513,0.07870883,0.0002570181,0.002795015,0.00001025917,0.4360099,0.02230257,0.0003256648,0.01097478,0.4414427,0.001178234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834341,0.0008168498,0.01764392,0.004463985,0.0002032468,0.0004702459,0.0001634136,0.0001796172,0.09262469],"genre_scores_gemma":[0.9963859,0.0006239014,0.002433483,0.0000164453,0.0001129398,0.000006118974,0.00003175293,0.00001448004,0.000374921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8538859,"threshold_uncertainty_score":0.7239182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.246895452965425,"score_gpt":0.4458877239443438,"score_spread":0.1989922709789189,"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."}}