{"id":"W7027440968","doi":"","title":"Critiquing technology ethics in prescription and practice: Rendering technical in computer science curriculum design and disability-focused artificial intelligence","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Curriculum; Rendering (computer graphics); Applications of artificial intelligence; Medical prescription","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01798041,0.0005534329,0.0003884734,0.001730441,0.007008808,0.01691846,0.001477434,0.003928314,0.01106106],"category_scores_gemma":[0.03638934,0.0004491686,0.000345027,0.000858303,0.03918418,0.01082214,0.007500149,0.004879518,0.0009918257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008699829,"about_ca_system_score_gemma":0.01517118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145424,"about_ca_topic_score_gemma":0.01320502,"domain_scores_codex":[0.9857939,0.01128649,0.0003211197,0.000596478,0.001324407,0.0006775723],"domain_scores_gemma":[0.9695148,0.02332323,0.001335343,0.001306451,0.00277807,0.001742026],"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":[0.00002652919,0.00007664259,0.00086776,0.0001270072,0.000005235518,0.00007993546,0.09394737,0.001768375,0.0003030455,0.8382888,0.01488005,0.04962924],"study_design_scores_gemma":[0.00002603017,0.00003196442,0.00102469,0.0004934649,0.00001310023,0.00006741817,0.0585083,0.004981524,0.0009693964,0.7928991,0.140951,0.00003396895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08565152,0.00441405,0.209142,0.2096701,0.001614716,0.0002595003,0.00009087973,0.000580705,0.4885764],"genre_scores_gemma":[0.935418,0.001007732,0.03545301,0.002447509,0.0002619157,0.0001558192,0.00003390726,0.0002369655,0.02498518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9929912,"threshold_uncertainty_score":0.09509063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06454630637041224,"score_gpt":0.3778067487591779,"score_spread":0.3132604423887657,"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."}}