{"id":"W7132986859","doi":"","title":"'Women in Computing' as Problematic: Gender, Ethics and Identity in University Computer Science Education","year":2009,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Ethnography; Subject (documents); Feminism; Representation (politics); Higher education; Work (physics); Research ethics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003803336,0.0002308932,0.0003066183,0.0007818525,0.0004182491,0.0005043947,0.00102749,0.0002526785,0.000002668786],"category_scores_gemma":[0.00027425,0.0002698241,0.00003368002,0.001425674,0.00009390792,0.0007279866,0.0002018646,0.001714773,0.00001374575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005600172,"about_ca_system_score_gemma":0.002004936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002548204,"about_ca_topic_score_gemma":0.001745741,"domain_scores_codex":[0.9974716,0.0004426628,0.0002543876,0.0007409555,0.0005573117,0.0005331367],"domain_scores_gemma":[0.9988307,0.0001849489,0.0002717489,0.0004044905,0.0001504193,0.0001577321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001810731,0.0002971207,0.001594103,0.0005267967,0.000008711682,0.00002746873,0.5693411,0.0007169448,0.00009759987,0.02832127,0.00003878297,0.399012],"study_design_scores_gemma":[0.002435021,0.0007828127,0.7580429,0.004692653,0.00004685196,0.0001223179,0.1129633,0.0832988,0.0001197519,0.02265035,0.01202485,0.002820383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669915,0.0002237266,0.02924673,0.0005765972,0.0005957498,0.0003868582,1.625606e-7,0.0001702731,0.001808401],"genre_scores_gemma":[0.9200594,0.00005326495,0.07742408,0.0001448685,0.00005313061,0.000002219486,0.00001872183,0.00001416994,0.002230118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7564488,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04799002151618095,"score_gpt":0.4090737538679962,"score_spread":0.3610837323518152,"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."}}