{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01831088,0.000976495,0.0007570685,0.02223232,0.004154813,0.007542821,0.001695593,0.001179053,0.008469952],"category_scores_gemma":[0.03573453,0.0005965602,0.0006714042,0.01987544,0.005176338,0.006615405,0.004401784,0.002221544,0.0009851683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003526914,"about_ca_system_score_gemma":0.003752758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00501368,"about_ca_topic_score_gemma":0.009713979,"domain_scores_codex":[0.9892948,0.006921172,0.0008650214,0.001237361,0.001494409,0.0001872347],"domain_scores_gemma":[0.9368092,0.0513867,0.002922,0.004321765,0.00417615,0.0003842208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003041366,0.0003274147,0.009924666,0.00365814,0.0001595665,0.001121885,0.4636876,0.002082631,0.0185921,0.2198701,0.01793569,0.262336],"study_design_scores_gemma":[0.0002339854,0.0002501053,0.04262688,0.005200139,0.0002329524,0.001446922,0.321783,0.02897184,0.02038254,0.1826716,0.3958611,0.0003388947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2803184,0.005421616,0.5951517,0.003467723,0.0008330182,0.007168821,0.01768077,0.001456055,0.08850192],"genre_scores_gemma":[0.3343101,0.001583942,0.6382667,0.0002905225,0.0001831641,0.01057606,0.007341064,0.0006551744,0.006793183],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02223232,"threshold_uncertainty_score":0.09683841,"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."}}