{"id":"W4406216480","doi":"10.1177/10778012241309362","title":"Gender Data, Intersectionality, and a Feminist Politics of “Negotiated Refusal”","year":2025,"lang":"en","type":"article","venue":"Violence Against Women","topic":"Sex work and related issues","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intersectionality; Flexibility (engineering); Context (archaeology); Politics; Sociology; Gender studies; Domestic violence; Gender equality; Poison control; Doing gender; Human factors and ergonomics; Political science; Medicine; Geography; Law; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.0005720474,0.00008118978,0.0001487957,0.0001031332,0.0003064788,0.00004045215,0.0003643207,0.0001117935,0.00005696687],"category_scores_gemma":[0.0001949341,0.00007509277,0.00001761227,0.0004110231,0.0005246376,0.0001009774,0.0002075903,0.0001213669,0.000008795493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009908479,"about_ca_system_score_gemma":0.000232215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006463312,"about_ca_topic_score_gemma":0.00003423236,"domain_scores_codex":[0.9989594,0.0001145886,0.0002102984,0.0002450882,0.0001898201,0.0002808133],"domain_scores_gemma":[0.9993701,0.0001142768,0.00006677372,0.0002879772,0.00007295451,0.00008793872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000137995,0.0007417882,0.2678345,0.000440673,0.0008907579,0.00003542428,0.3950091,0.00004751516,0.001577371,0.23238,0.009838716,0.0910662],"study_design_scores_gemma":[0.001356205,0.0001307746,0.02986766,0.001540334,0.00008832264,0.000002839942,0.5225845,0.0004965002,0.0007818827,0.1468181,0.2956491,0.0006838119],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290725,0.0006757407,0.00003402282,0.0003141386,0.0003035135,0.0001072087,0.00001667912,0.00005400166,0.06942221],"genre_scores_gemma":[0.9966521,0.001412124,0.00009353301,0.0004900121,0.00006970714,0.000005747436,0.00001625912,0.000004692707,0.001255863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2858104,"threshold_uncertainty_score":0.3062194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049074129203415,"score_gpt":0.3393118359977211,"score_spread":0.3088210947056869,"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."}}