{"id":"W1525842562","doi":"10.5539/ijel.v5n3p11","title":"A Cluster Analysis of Gender Discrimination in Chinese and Western News Media","year":2015,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"China Scholarship Council; University of Saskatchewan","keywords":"Ethos; Ideal (ethics); China; Rhetorical question; Blame; Rhetoric; Agency (philosophy); Gender studies; Sociology; Political science; Psychology; Media studies; Social psychology; Law; Linguistics; Literature; Art; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001427438,0.0003397111,0.0003008377,0.006143537,0.002077301,0.002471815,0.0002946811,0.0003412655,0.003965778],"category_scores_gemma":[0.00563585,0.0001036522,0.0003828689,0.005904166,0.001106497,0.0007020968,0.001494285,0.0003256332,0.0004419016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427229,"about_ca_system_score_gemma":0.00166828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0295383,"about_ca_topic_score_gemma":0.02007628,"domain_scores_codex":[0.9987451,0.0002390772,0.00009964786,0.0001973094,0.0003857894,0.0003330414],"domain_scores_gemma":[0.9957099,0.001604372,0.0008037886,0.0002725731,0.001175534,0.0004336929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006529649,0.0001851018,0.799483,0.000194707,0.0001463465,0.0008093888,0.1250621,0.0001352757,0.006217499,0.004171945,0.002963101,0.05997855],"study_design_scores_gemma":[0.000008352506,0.00008101585,0.9103196,0.00003880101,0.00005506391,0.0001837606,0.08310134,0.0009700637,0.0008062772,0.0003999207,0.00400668,0.00002907148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928769,0.00006955738,0.0003768906,0.00008039234,0.00002110927,0.00007247345,0.0003790217,0.00001248028,0.006111108],"genre_scores_gemma":[0.9977024,0.00004585228,0.0004479011,0.00001977795,0.00001936997,0.00008892122,0.0004797468,0.000008325559,0.001187676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0295383,"threshold_uncertainty_score":0.05873275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04494729062734946,"score_gpt":0.3525692261029423,"score_spread":0.3076219354755929,"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."}}