{"id":"W3122100577","doi":"10.1177/0018726721994180","title":"The work of conflict mediation: Actors, vectors, and communicative relationality","year":2021,"lang":"en","type":"article","venue":"Human Relations","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mediation; Perspective (graphical); Scholarship; Alternative dispute resolution; Conflict resolution; Conflict management; Feeling; Party-directed mediation; Sociology; Tribunal; Epistemology; Dispute mechanism; Dispute resolution; Transformative mediation; Common ground; Public relations; Psychology; Social psychology; Political science; Law; Computer science; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005677975,0.00004598316,0.00006936485,0.00002882135,0.001536936,0.00005885032,0.0001140869,0.00005359037,0.0003981331],"category_scores_gemma":[0.0004266966,0.00004159895,0.00003438437,0.0003270852,0.0003303208,0.0001488681,0.00005997679,0.0001099147,0.0000112086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004135888,"about_ca_system_score_gemma":0.00007315684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001520977,"about_ca_topic_score_gemma":0.002156239,"domain_scores_codex":[0.9990852,0.0003175955,0.0001949382,0.0000914788,0.0002220274,0.00008874319],"domain_scores_gemma":[0.9984383,0.0009853534,0.0001466884,0.0002143323,0.0001804667,0.00003485033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001981302,0.00001715481,0.09223913,0.000001557198,0.0000293944,1.386503e-7,0.01554637,0.000005761653,0.00002534195,0.8897853,0.001750823,0.0005970255],"study_design_scores_gemma":[0.0001389621,0.000005224414,0.625897,0.00001178548,0.00002501353,6.052363e-8,0.002301547,0.00001955222,0.00002133277,0.0139212,0.3575991,0.00005924377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5452095,0.003148782,0.0003890848,0.02531655,0.000324832,0.0005310138,0.00001240142,0.0001064293,0.4249614],"genre_scores_gemma":[0.9898514,0.0003927008,0.00009737165,0.00003590527,0.00006667671,0.00001040676,0.00005826394,0.000003657779,0.009483609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758641,"threshold_uncertainty_score":0.999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06026409412707775,"score_gpt":0.3482528060587232,"score_spread":0.2879887119316454,"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."}}