{"id":"W4310881428","doi":"10.1109/mts.2022.3219164","title":"A Feminist Ethics of Care Within Counterspaces: Supporting Inclusion in Postsecondary ICT Education","year":2022,"lang":"en","type":"article","venue":"IEEE Technology and Society Magazine","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Identity (music); Diversity (politics); Computer science; Algorithm; Library science; Humanities; Political science; Philosophy; Law; Aesthetics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01729505,0.0006302203,0.0004940296,0.001109828,0.02536006,0.01555518,0.002452475,0.01046424,0.01048689],"category_scores_gemma":[0.02042568,0.0004389363,0.0005329875,0.0008776911,0.07232697,0.01598878,0.02229857,0.01080153,0.001769994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01100484,"about_ca_system_score_gemma":0.01535489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01670447,"about_ca_topic_score_gemma":0.02340838,"domain_scores_codex":[0.9738697,0.01941312,0.0002982093,0.001296597,0.002612677,0.002509591],"domain_scores_gemma":[0.987085,0.007245623,0.0007731292,0.0009655197,0.001458679,0.002472122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002216255,0.00002104511,0.0006346381,0.00002732282,0.00000243629,0.0001647093,0.07747994,0.00007452483,0.0000882518,0.8932856,0.01734731,0.01085204],"study_design_scores_gemma":[0.0000267977,0.00005898421,0.0005831752,0.0004198585,0.000008026722,0.0003314511,0.09462744,0.0003254362,0.0005301946,0.3470628,0.555992,0.00003381185],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03658495,0.003197045,0.01770042,0.4754889,0.001709461,0.00006982065,0.00005677922,0.00008000992,0.4651126],"genre_scores_gemma":[0.8863623,0.001400825,0.004194348,0.04254245,0.0007193799,0.0002056585,0.00002744007,0.0001302694,0.06441741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.97464,"threshold_uncertainty_score":0.09146607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391382194298678,"score_gpt":0.3348513776524336,"score_spread":0.3209375557094468,"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."}}