{"id":"W1682543355","doi":"10.22230/cjc.2015v40n3a2728","title":"The Digital Humanities and Democracy","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Science Foundation","keywords":"Digital humanities; Digitization; Democratization; Humanities; Humanism; Democracy; Diversity (politics); Sociology; Focus (optics); Political science; Art; Computer science; Anthropology; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006272197,0.0003161402,0.0005078442,0.001736399,0.007713208,0.01481533,0.0008398976,0.003764217,0.01171195],"category_scores_gemma":[0.01079234,0.0001819444,0.0002655349,0.002535498,0.04110914,0.00912453,0.009504535,0.005143553,0.001188201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006392826,"about_ca_system_score_gemma":0.01056789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008223372,"about_ca_topic_score_gemma":0.008219709,"domain_scores_codex":[0.9910576,0.005309496,0.000194785,0.0008598414,0.001475027,0.001103158],"domain_scores_gemma":[0.9923291,0.004743882,0.0006448727,0.0008520169,0.0004934438,0.0009368157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003006933,0.000005333422,0.0001867419,0.00002347849,0.000001972284,0.00002241218,0.001191655,0.00007382614,0.00001287819,0.9898704,0.002535215,0.006073094],"study_design_scores_gemma":[0.00001145368,0.00001169007,0.0006264409,0.0002637434,0.000002778998,0.00009107828,0.003022465,0.0001048654,0.00006819386,0.7390447,0.2567414,0.00001113905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02048964,0.03494975,0.006942324,0.1375186,0.001176198,0.00003669785,0.00007652457,0.00006130197,0.798749],"genre_scores_gemma":[0.9041284,0.02447015,0.003191587,0.01632169,0.001490047,0.00008625664,0.00006764656,0.00005262244,0.05019154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01481533,"threshold_uncertainty_score":0.04638338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09779186247268132,"score_gpt":0.2319571706750656,"score_spread":0.1341653082023843,"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."}}