{"id":"W7085046217","doi":"10.1109/tts.2025.3615509","title":"The Future of Digital Feminism: Surviving Surveillance, Misinformation, and Machine Learning Misogyny","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Technology and Society","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Reactionary; Capitalism; Resistance (ecology); Digital Revolution; Feminist theory; Corporate governance; Technological determinism; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009637515,0.0006292384,0.0003643786,0.001701812,0.007061237,0.01131935,0.001033025,0.003889341,0.007735542],"category_scores_gemma":[0.01097793,0.0002468972,0.0002920531,0.0008971743,0.05457209,0.01763134,0.00665211,0.003744211,0.00083507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004696751,"about_ca_system_score_gemma":0.002484624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521803,"about_ca_topic_score_gemma":0.001891942,"domain_scores_codex":[0.9945833,0.003829021,0.00007977126,0.0004517977,0.0006266105,0.0004294508],"domain_scores_gemma":[0.9886375,0.008501837,0.0006015826,0.001186578,0.0006088513,0.000463687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000254446,0.00001346955,0.0009621214,0.00006873104,0.000004617375,0.0001920316,0.0525245,0.0002108984,0.0002666512,0.914036,0.00522444,0.02647108],"study_design_scores_gemma":[0.000007851112,0.00003469449,0.0006990407,0.0003733949,0.000004883637,0.0003650212,0.0589533,0.000579399,0.001085236,0.4254878,0.5123833,0.00002599724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1025249,0.02201424,0.04085435,0.3414144,0.002102785,0.00006117168,0.0001764487,0.0001799332,0.4906717],"genre_scores_gemma":[0.9569653,0.004902447,0.004189504,0.008452899,0.0008930565,0.00006300373,0.00003817261,0.0001438963,0.02435182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9929388,"threshold_uncertainty_score":0.05096871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005601098096875833,"score_gpt":0.1969286570607943,"score_spread":0.1913275589639184,"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."}}