{"id":"W2801709491","doi":"","title":"(Un)civil Society in Digital China| Slogans and Slurs, Misogyny and Nationalism: A Case Study of Anti-Japanese Sentiment by Chinese Netizens in Contentious Social Media Comments","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nationalism; China; Media studies; Social media; Sociology; Friendship; Gender studies; National identity; Identity (music); Political science; Law; Social science; Aesthetics; Art; 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":[0.002351106,0.0006848988,0.0003506118,0.001822779,0.01291373,0.002824316,0.000989651,0.001380283,0.002186316],"category_scores_gemma":[0.004896489,0.0003360914,0.0002446075,0.002384085,0.007096277,0.002619529,0.003962999,0.001614177,0.000242494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005330862,"about_ca_system_score_gemma":0.00330444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07427932,"about_ca_topic_score_gemma":0.1440427,"domain_scores_codex":[0.9983042,0.000760772,0.00006723269,0.000161844,0.0003451816,0.0003606239],"domain_scores_gemma":[0.9968453,0.001362502,0.000688352,0.0002355275,0.0003526588,0.0005155523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000347452,0.00003772106,0.02403461,0.00005615022,0.000007809179,0.003892767,0.9638368,0.00002692352,0.001000296,0.001391486,0.0007974777,0.004883315],"study_design_scores_gemma":[0.000003846543,0.00003339888,0.02915333,0.00004796425,0.00001304441,0.0008238768,0.9601735,0.0002529339,0.0005648087,0.0002612716,0.008653152,0.00001885396],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965533,0.00006240304,0.00008966194,0.000502044,0.00001275491,0.00001474195,0.00002476806,0.000004921841,0.002735482],"genre_scores_gemma":[0.9976087,0.0001199812,0.0001308785,0.0001596896,0.00001825448,0.00001836223,0.00003648521,0.00001025946,0.00189758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07427932,"threshold_uncertainty_score":0.1476939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157640237168862,"score_gpt":0.5080491977002856,"score_spread":0.3922851739833993,"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."}}