{"id":"W2919943986","doi":"10.5539/ijel.v9n2p321","title":"Representation of Gender Through Framing: A Critical Discourse Analysis of Hillary Clinton’s Selected Speeches","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Critical discourse analysis; Sociology; Discourse analysis; Ideology; Framing (construction); Frame analysis; Power (physics); Identity (music); Representation (politics); Gender studies; Media studies; Politics; Linguistics; Content analysis; Social science; Political science; Aesthetics; Law","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":[0.01215866,0.0009893761,0.0006619763,0.005988051,0.01304177,0.009690398,0.001501212,0.002055215,0.002448158],"category_scores_gemma":[0.01895216,0.0004642872,0.0003616771,0.004191039,0.01754178,0.005169399,0.004416135,0.003410469,0.0002632847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01347443,"about_ca_system_score_gemma":0.006654202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02433287,"about_ca_topic_score_gemma":0.03356222,"domain_scores_codex":[0.9909574,0.006645141,0.0002220233,0.0005877935,0.001074733,0.0005128901],"domain_scores_gemma":[0.968964,0.02626493,0.0009438717,0.0006738642,0.002524439,0.0006288795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001994705,0.00001723809,0.0004147173,0.00007400591,0.000002827831,0.0004150546,0.9748215,0.0000321687,0.0005755778,0.01470384,0.002083078,0.006840118],"study_design_scores_gemma":[0.000004873234,0.00002151078,0.001571388,0.0004340246,0.00000794342,0.0001665993,0.9111806,0.0002254625,0.001201741,0.003879299,0.08127902,0.0000275829],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.841433,0.005872473,0.01658312,0.01960439,0.001285921,0.00098424,0.0005110255,0.00009632788,0.1136295],"genre_scores_gemma":[0.9712203,0.001636446,0.008068608,0.001287274,0.0001824881,0.0003768901,0.0001728002,0.0001201566,0.01693508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02433287,"threshold_uncertainty_score":0.09776425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984201983064555,"score_gpt":0.3609559353231835,"score_spread":0.321113915492538,"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."}}