{"id":"W2908252999","doi":"10.5539/ijel.v9n1p324","title":"Textual and Rhetoric Analysis of News Headlines of Urdu and English Newspapers","year":2018,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Embarrassment; Rhetoric; Urdu; Narrative; Sociology; Viewpoints; Sample (material); Media studies; Linguistics; Hegemony; Psychology; History; Advertising; Political science; Politics; Social psychology; Art","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":[0.001262427,0.0001983385,0.0001919758,0.006509513,0.001230348,0.001750664,0.0001922394,0.0002648341,0.003062297],"category_scores_gemma":[0.008832273,0.0001165989,0.00009756196,0.004971308,0.001075037,0.0009487614,0.0005773432,0.0003342483,0.0003503292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009433105,"about_ca_system_score_gemma":0.0005179739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211554,"about_ca_topic_score_gemma":0.00413801,"domain_scores_codex":[0.9988217,0.0005618251,0.0001193071,0.00008145848,0.0003415309,0.00007426314],"domain_scores_gemma":[0.9824686,0.01263866,0.002336362,0.0002866549,0.002015378,0.0002542271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006149272,0.0002012732,0.08024777,0.002845771,0.00003520528,0.004478448,0.7587124,0.0001715614,0.01954975,0.006294614,0.008761951,0.1180864],"study_design_scores_gemma":[0.00001321788,0.000249609,0.4077724,0.001061216,0.00006104331,0.001405414,0.4849111,0.0007191746,0.008892893,0.00110965,0.09374619,0.00005812614],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978429,0.0009250172,0.0007479475,0.000444137,0.00009706535,0.00008922521,0.001355944,0.00002971972,0.01788203],"genre_scores_gemma":[0.99264,0.000842512,0.001510698,0.0001075367,0.0001649081,0.0000946407,0.0009439102,0.00002898944,0.003666888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006509513,"threshold_uncertainty_score":0.01024443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738048015935041,"score_gpt":0.3159574663405055,"score_spread":0.2985769861811551,"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."}}