{"id":"W2967975393","doi":"10.1057/s41269-019-00139-2","title":"Finding deliberative niches: a systemic approach to deliberation for conflict resolution","year":2019,"lang":"en","type":"article","venue":"Acta Politica","topic":"Social Media and Politics","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Deliberation; Deliberative democracy; Context (archaeology); Indigenous; Sociology; Politics; Conflict resolution; Order (exchange); Democracy; Epistemology; Political science; Ecology; Social science; Law; Biology; Economics","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":[0.02222929,0.001153175,0.002002888,0.008286942,0.005796346,0.01496927,0.003686893,0.003818178,0.0145641],"category_scores_gemma":[0.07201502,0.001250268,0.002984372,0.006592451,0.01734506,0.02198624,0.01622129,0.004269302,0.001255734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003312665,"about_ca_system_score_gemma":0.007931324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793542,"about_ca_topic_score_gemma":0.002715694,"domain_scores_codex":[0.9751805,0.01671484,0.001314104,0.002564503,0.003152383,0.001073742],"domain_scores_gemma":[0.921831,0.06067263,0.003409662,0.007948091,0.00406977,0.002068808],"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":[0.0001507714,0.0001626078,0.003495209,0.0004948272,0.000137929,0.0002326568,0.01324173,0.009523606,0.001186771,0.8966624,0.002106519,0.07260505],"study_design_scores_gemma":[0.0000220972,0.0000332491,0.0004330917,0.0001440458,0.00003122642,0.00006991049,0.005420314,0.02394789,0.0005782794,0.9640402,0.005254274,0.00002552861],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02570471,0.0004136515,0.9361454,0.005152525,0.00008389951,0.0003858741,0.0002762622,0.0003759807,0.03146163],"genre_scores_gemma":[0.5516368,0.000226532,0.4433462,0.0002764736,0.00006720473,0.0007026599,0.0003197737,0.00018663,0.003237824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02222929,"threshold_uncertainty_score":0.1175612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065279632763038,"score_gpt":0.3519293758064392,"score_spread":0.2866497430434012,"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."}}