{"id":"W4416580612","doi":"10.64628/aam.9p6qxk5vs","title":"‘Quiet, piggy’ and other slurs: Powerful men fuel online abuse against women in politics and media","year":2025,"lang":"","type":"article","venue":"","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Politics; Agency (philosophy); Poison control; Social media; The Internet","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":[0.003772592,0.0004778777,0.0003616573,0.001588412,0.01611438,0.01030508,0.0009394613,0.00356764,0.0214011],"category_scores_gemma":[0.01595173,0.0005788615,0.0002974144,0.001377535,0.01302454,0.008046083,0.008271606,0.004361889,0.002365569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558638,"about_ca_system_score_gemma":0.001453254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00508403,"about_ca_topic_score_gemma":0.007949576,"domain_scores_codex":[0.9947917,0.00347244,0.0001027639,0.0002458221,0.0005493449,0.0008378978],"domain_scores_gemma":[0.9903457,0.005783428,0.001563138,0.0005573449,0.0005323992,0.001218058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001999929,0.0001914872,0.0239847,0.0001667228,0.00004131423,0.001373446,0.8526127,0.00005892541,0.001491039,0.06278729,0.02003014,0.03706234],"study_design_scores_gemma":[0.0000182828,0.0001001519,0.01089391,0.0003527434,0.00003503106,0.0009572083,0.831636,0.0001355394,0.000981443,0.009384762,0.1454734,0.00003164325],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7103581,0.002023657,0.001898262,0.03413423,0.0007407828,0.00004977615,0.00008513312,0.00006774884,0.2506422],"genre_scores_gemma":[0.976907,0.0005356084,0.0002269932,0.004771352,0.0002102734,0.00002755324,0.00002036766,0.00007587029,0.017225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0214011,"threshold_uncertainty_score":0.07159382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824439813129185,"score_gpt":0.2956131829493639,"score_spread":0.277368784818072,"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."}}