{"id":"W4321011686","doi":"10.1145/3579462","title":"Beyond Transactional Democracy: A Study of Civic Tech in Canada","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Civic engagement; Public relations; Grassroots; Democracy; Citizen journalism; Political science; Public engagement; Publics; Sociology; Voting; Public administration; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002680724,0.0003490644,0.0007791463,0.002226867,0.07186314,0.01260034,0.002748377,0.002677504,0.008553254],"category_scores_gemma":[0.007580511,0.0006103287,0.0003300076,0.006111793,0.01393379,0.004284083,0.005736805,0.005888059,0.0005383813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1233277,"about_ca_system_score_gemma":0.149459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889039,"about_ca_topic_score_gemma":0.9958012,"domain_scores_codex":[0.9949234,0.00120219,0.00009621897,0.0005575829,0.001110694,0.002109886],"domain_scores_gemma":[0.9939795,0.001454194,0.0003145452,0.0002184034,0.00121775,0.00281567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005730779,0.0002012469,0.01667035,0.00006471412,0.00001044094,0.001069929,0.9309589,0.0001831986,0.0005753047,0.02972587,0.005060982,0.01542178],"study_design_scores_gemma":[0.000009284347,0.00002628971,0.02083236,0.00007061735,0.000005957961,0.00009050065,0.9088781,0.0006745736,0.0001466002,0.001934184,0.06729311,0.00003837404],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238815,0.0003824761,0.0006583476,0.007892464,0.00005296982,0.0001904913,0.000151113,0.0000253391,0.06676527],"genre_scores_gemma":[0.9843556,0.000296699,0.0003372971,0.0006954093,0.000007171443,0.00004033569,0.00005323321,0.00002567678,0.01418861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1233277,"threshold_uncertainty_score":0.8948091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828452702335038,"score_gpt":0.2996751804912546,"score_spread":0.2613906534679042,"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."}}