{"id":"W7132980534","doi":"","title":"The Impacts and Governance of Artificial Intelligence: A Transfeminist Perspective","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; European Commission; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Government of Ontario; Innovation, Science and Economic Development Canada","keywords":"Corporate governance; Harm; Thematic analysis; Transformative learning; Intervention (counseling); Value (mathematics); Injustice; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009880927,0.0008124692,0.0005054633,0.004279523,0.00502637,0.01506717,0.001602963,0.002522611,0.003241382],"category_scores_gemma":[0.008468211,0.0004128073,0.0004673977,0.004480021,0.08641322,0.01290627,0.007579124,0.004484364,0.0003205506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02045275,"about_ca_system_score_gemma":0.01349282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03442565,"about_ca_topic_score_gemma":0.02462492,"domain_scores_codex":[0.9898145,0.006188692,0.0002456458,0.0006841192,0.002099817,0.0009671505],"domain_scores_gemma":[0.9929222,0.003953021,0.000836001,0.0008703786,0.0009410551,0.0004773681],"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":[0.000003292396,0.000005902538,0.0005900653,0.00004683178,0.000004568049,0.00004778109,0.005855979,0.000446884,0.0000656928,0.9890839,0.0005183896,0.003330683],"study_design_scores_gemma":[0.000008641892,0.00002997354,0.002032879,0.0004978426,0.00001603744,0.000172933,0.01927158,0.001008004,0.0002245224,0.8569211,0.1198024,0.00001410704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07328848,0.02418677,0.1277773,0.1289222,0.0008677571,0.0002089961,0.0001823722,0.0001227911,0.6444435],"genre_scores_gemma":[0.9684085,0.0111114,0.008523831,0.003703252,0.0004435098,0.000178703,0.00006183926,0.00005994244,0.007509047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03442565,"threshold_uncertainty_score":0.1483958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04337203351703438,"score_gpt":0.4412671743570745,"score_spread":0.3978951408400401,"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."}}