{"id":"W2340613512","doi":"10.1177/0018726715624497","title":"Commentary: Beyond Morgan’s eight metaphors","year":2016,"lang":"en","type":"article","venue":"Human Relations","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Metaphor; Face (sociological concept); Epistemology; Sociology; Process (computing); GRASP; Metonymy; Politics; Organizational theory; Metaphor and metonymy; Cognitive science; Psychology; Social science; Computer science; Political science; Linguistics; Management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007369596,0.001365168,0.001441885,0.001778145,0.007889614,0.005198134,0.00617055,0.03878834,0.007494099],"category_scores_gemma":[0.05870615,0.000832104,0.001407094,0.002064103,0.0129792,0.01141365,0.004098095,0.05893031,0.003933004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007564293,"about_ca_system_score_gemma":0.009010647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02828496,"about_ca_topic_score_gemma":0.02373097,"domain_scores_codex":[0.9929509,0.002935421,0.0005296,0.001235953,0.001631932,0.0007161398],"domain_scores_gemma":[0.9608907,0.02827542,0.001485583,0.0007885503,0.007065897,0.001493862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002522069,0.000004074829,0.00003803104,0.0001133936,0.000006475869,0.0003093416,0.00111878,0.000036068,0.00003964103,0.006785818,0.9893522,0.002171111],"study_design_scores_gemma":[0.00002157063,0.00001340808,0.0001716959,0.0005537929,0.00001361777,0.0007504792,0.002624602,0.0001248165,0.0001578726,0.01233741,0.9831819,0.0000488665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000182639,0.002308484,0.0001292653,0.9582912,0.03759002,0.000007203205,0.00003961801,0.0000145651,0.001437045],"genre_scores_gemma":[0.006203198,0.001864826,0.0001977142,0.9464005,0.04155873,0.00004243444,0.00001936929,0.00004344356,0.003669855],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03878834,"threshold_uncertainty_score":0.05624068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571897852506252,"score_gpt":0.2160474499678572,"score_spread":0.2003284714427947,"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."}}