{"id":"W4405764540","doi":"10.1111/capa.12594","title":"From “Listening” to Collaborative Policymaking: Encouraging Government Engagement with Civil Society","year":2024,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Transparency (behavior); Public engagement; Civic engagement; Active listening; Institutionalisation; Public relations; Civil society; Government (linguistics); Political science; Element (criminal law); Corporate governance; Focus (optics); Public administration; Sociology; Business; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001158118,0.0001826539,0.0001418823,0.0001568705,0.001202575,0.002367715,0.0003580747,0.0001288928,0.001113724],"category_scores_gemma":[0.0004100754,0.0001804869,0.00008135666,0.001431376,0.0002155247,0.0008003004,0.00003077823,0.000291168,0.00008492052],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898522,"about_ca_system_score_gemma":0.01944362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03648641,"about_ca_topic_score_gemma":0.837862,"domain_scores_codex":[0.9971883,0.0002350429,0.0002529648,0.000485984,0.001049803,0.0007878588],"domain_scores_gemma":[0.9977631,0.0002193263,0.0000565293,0.0002343554,0.0002172031,0.001509482],"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":[0.00001777814,0.00004455927,0.0004681821,0.00002013322,0.0001798307,0.00009581739,0.03339457,0.000003293766,0.0001499884,0.8158674,0.1405924,0.009166013],"study_design_scores_gemma":[0.0001120788,0.0001278851,0.0002899012,0.00004639771,0.00001386218,0.000001997196,0.02127729,0.0002991988,0.0001105666,0.0005043142,0.976982,0.0002345136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07448816,0.0001244207,0.003203881,0.5987641,0.0006153977,0.001242616,0.001287683,0.0003260473,0.3199477],"genre_scores_gemma":[0.9892796,0.00001256344,0.0008762003,0.002415058,0.001247917,0.0001500477,0.0001124951,0.00002211159,0.005884034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9147914,"threshold_uncertainty_score":0.9997994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04308089764650551,"score_gpt":0.3626578418601407,"score_spread":0.3195769442136351,"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."}}