{"id":"W4416928977","doi":"10.15353/un-disturbed.v2i2.6658","title":"Digital Feminist Futurities From the Margin","year":2025,"lang":"","type":"article","venue":"(Un)Disturbed A Journal of Feminist Voices","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Politics; Scholarship; Power (physics); Publics; Lived experience; Dynamics (music); Digital media; Margin (machine learning)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002878959,0.0009446353,0.001554598,0.0003250622,0.002945785,0.002885032,0.003708477,0.0006862585,0.00113548],"category_scores_gemma":[0.001380908,0.0007112626,0.001300838,0.001430504,0.003094522,0.0008908131,0.0005226697,0.001843446,0.0001270718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003269606,"about_ca_system_score_gemma":0.00243029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003499441,"about_ca_topic_score_gemma":0.0005406797,"domain_scores_codex":[0.9921601,0.0007634294,0.002503099,0.0008435608,0.002298994,0.001430752],"domain_scores_gemma":[0.9910192,0.004109679,0.002559668,0.0008998705,0.0006237967,0.0007878222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001588717,0.002122423,0.0586308,0.0003322186,0.00417521,0.0008948529,0.5575787,0.000005549497,0.0003742028,0.01514657,0.1327823,0.2263685],"study_design_scores_gemma":[0.001716407,0.0002910128,0.01615127,0.0006503582,0.0007863909,0.00007254029,0.3880921,0.000007750808,0.0002857427,0.007261327,0.5840896,0.0005955055],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.411394,0.06525489,0.0001938714,0.02448071,0.02248004,0.0009815175,0.001489633,0.0001015338,0.4736238],"genre_scores_gemma":[0.972703,0.0041373,0.0002873855,0.003359838,0.006303457,0.00001891563,0.00003158371,0.00005961428,0.01309885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.561309,"threshold_uncertainty_score":0.9997776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409370549421886,"score_gpt":0.2719196293311214,"score_spread":0.2578259238369026,"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."}}