{"id":"W1599490515","doi":"10.5931/djim.v11i0.5528","title":"Citizen Engagement: A Catalyst for Effective Local Government","year":2015,"lang":"en","type":"article","venue":"Dalhousie Journal of Interdisciplinary Management","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Representativeness heuristic; Public engagement; Public relations; Transparency (behavior); Community engagement; Accountability; Corporate governance; Stakeholder engagement; Political science; Best practice; Business; Government (linguistics); Process (computing); Knowledge management; Psychology; Computer science; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01656159,0.0004832379,0.0005584462,0.002511483,0.0112486,0.01437162,0.001672334,0.003392612,0.009783825],"category_scores_gemma":[0.02065032,0.0004858697,0.0005283784,0.001975841,0.01846106,0.009307937,0.0188627,0.003924902,0.001470004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009616016,"about_ca_system_score_gemma":0.01721345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007911339,"about_ca_topic_score_gemma":0.008513065,"domain_scores_codex":[0.9774613,0.01522844,0.0003808294,0.001117069,0.002061297,0.003751155],"domain_scores_gemma":[0.9818975,0.009009129,0.001920447,0.00160671,0.002280798,0.003285353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001586109,0.0004596715,0.03243145,0.0007922425,0.00007345148,0.001800922,0.2242237,0.001813604,0.001882646,0.5225955,0.03372248,0.1800458],"study_design_scores_gemma":[0.00006579101,0.0002907903,0.01612539,0.001108322,0.00004488063,0.0004167621,0.3201298,0.001859852,0.002133076,0.1481445,0.5096062,0.00007468078],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3321697,0.002443405,0.04932757,0.1174071,0.000569945,0.0009516914,0.0001190105,0.0005951621,0.4964164],"genre_scores_gemma":[0.9828265,0.0003095057,0.003755888,0.001256071,0.00007788414,0.0001989943,0.00002486506,0.00004657869,0.01150376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01656159,"threshold_uncertainty_score":0.08758712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455381225076788,"score_gpt":0.3242227483102542,"score_spread":0.2996689360594864,"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."}}