{"id":"W4408403123","doi":"10.1145/3677389.3702618","title":"Visualization Tools for African Digital Humanities: Scholars’ Perspectives on Ethics and Morality","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Digital humanities; Morality; Visualization; Computer science; Information visualization; Engineering ethics; Sociology; Epistemology; Philosophy; Library science; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.02905321,0.0006792798,0.0005561109,0.005399072,0.0195587,0.02494732,0.001360773,0.004151486,0.005844439],"category_scores_gemma":[0.03869032,0.0005376393,0.0003557804,0.00543607,0.04787085,0.02237869,0.01316453,0.007323257,0.0004477053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007118415,"about_ca_system_score_gemma":0.006496909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975024,"about_ca_topic_score_gemma":0.003116067,"domain_scores_codex":[0.9751596,0.02146499,0.0004759031,0.0005336655,0.001437021,0.0009287753],"domain_scores_gemma":[0.9605729,0.03318116,0.001653595,0.001788458,0.001545373,0.001258443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009317903,0.00001399919,0.0004012251,0.00007880182,0.000002645847,0.000242586,0.8077394,0.00005715572,0.00020936,0.1811384,0.002010148,0.008096875],"study_design_scores_gemma":[0.000007246456,0.00001972097,0.0003833863,0.0008503461,0.000007301167,0.0004288319,0.770011,0.0003486959,0.0006080248,0.05435609,0.1729582,0.00002122564],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.451709,0.02291934,0.05076423,0.2487132,0.002034354,0.0001999655,0.0001152274,0.0002300994,0.2233146],"genre_scores_gemma":[0.9774985,0.005126719,0.005976513,0.003148032,0.0002638481,0.0001128517,0.00001702526,0.0001038836,0.007752619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02905321,"threshold_uncertainty_score":0.1536499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1850341417222806,"score_gpt":0.33441877006341,"score_spread":0.1493846283411294,"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."}}