{"id":"W2889500320","doi":"10.1007/s10551-018-3997-9","title":"Speaking Truth to Power: Twitter Reactions to the Panama Papers","year":2018,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business ethics; Voice; Vernacular; Social media; Collective action; Power (physics); Action (physics); Government (linguistics); Sociology; Bureaucracy; Political science; Stakeholder; Public relations; Media studies; Linguistics; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001665624,0.00007801298,0.0001488156,0.0001051139,0.0008135564,0.0001284995,0.000353424,0.0001702051,0.0001846734],"category_scores_gemma":[0.01009843,0.00005403009,0.00007270059,0.0007661599,0.0002814472,0.0001322977,0.00003680528,0.0005949176,0.00009508129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284933,"about_ca_system_score_gemma":0.0007438856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605692,"about_ca_topic_score_gemma":0.001921233,"domain_scores_codex":[0.9983448,0.0002667043,0.0002881655,0.00008041338,0.0007298057,0.0002901591],"domain_scores_gemma":[0.9968246,0.00112979,0.0001914271,0.0001334168,0.001482527,0.0002382898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000761993,0.00006977856,0.00330616,0.00001898701,0.00007675827,0.00003084581,0.9304914,0.00005965575,0.00130866,0.03340357,0.02224807,0.008909858],"study_design_scores_gemma":[0.00008491323,0.00006699783,0.01152438,0.00009343035,0.00002859584,0.000008962586,0.05204201,5.659758e-7,0.00008729087,0.001297584,0.9346771,0.00008818433],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6074021,0.00003601962,0.00110091,0.3553833,0.01060129,0.0001492204,0.000002994736,0.00002126885,0.02530289],"genre_scores_gemma":[0.980806,0.00006180393,0.0005192623,0.01202891,0.006196035,0.000001477552,1.296737e-7,0.00001155003,0.0003748111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.912429,"threshold_uncertainty_score":0.9982399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250121838290026,"score_gpt":0.3903227187741891,"score_spread":0.2653105349451865,"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."}}