{"id":"W4402996127","doi":"10.1177/17504813241281713","title":"Reported speech and gender in the news: Who is quoted, how are they quoted, and why it matters","year":2024,"lang":"en","type":"article","venue":"Discourse & Communication","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Headline; Intertextuality; Context (archaeology); Mainstream; Variation (astronomy); Indirect speech; Linguistics; News media; Corpus linguistics; Media studies; Sociology; History; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283957,0.000119539,0.0001496205,0.00007510226,0.0006309278,0.0004084527,0.0005631989,0.00008252397,0.00002435663],"category_scores_gemma":[0.0001307947,0.00008994108,0.00003745946,0.0002823093,0.0004639858,0.0003366101,0.0002127399,0.0003094268,0.000006079882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005506364,"about_ca_system_score_gemma":0.00005095387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007734974,"about_ca_topic_score_gemma":0.04064707,"domain_scores_codex":[0.9984003,0.0006793713,0.0002083231,0.0002159143,0.000301604,0.0001944491],"domain_scores_gemma":[0.9983911,0.0003541386,0.0001257465,0.001021128,0.00005938845,0.00004848956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002195367,0.0001414609,0.02163396,0.000102787,0.0001471259,0.00001632106,0.7020887,0.00000225447,0.00008877288,0.05161048,0.1566615,0.06748467],"study_design_scores_gemma":[0.0003067066,0.00002141312,0.03467264,0.0003622063,0.0001194846,0.00001624918,0.5591853,0.0007877577,0.000008657838,0.02073626,0.383473,0.000310348],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2232087,0.01414486,0.00004746582,0.7502621,0.00009146085,0.0005056481,0.000009473551,0.0000616094,0.01166874],"genre_scores_gemma":[0.9620434,0.0329393,0.0001672231,0.004364519,0.00005455276,0.00006440692,0.00002663302,0.00001225593,0.0003276785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7458975,"threshold_uncertainty_score":0.9988726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07825917488348257,"score_gpt":0.3686235526960721,"score_spread":0.2903643778125895,"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."}}