{"id":"W2247200297","doi":"","title":"The hidden injuries of media power","year":2001,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Analogy; Symbolic power; Sociology; Legitimacy; Power (physics); Pessimism; Work (physics); Media consumption; Social media; Media content; Consumption (sociology); Media studies; Media culture; Mass media; Epistemology; Political science; Social science; Computer science; Politics; Engineering; Law; Multimedia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003733227,0.0005645577,0.0004487314,0.002781187,0.006403066,0.01843218,0.001216249,0.002704953,0.01347385],"category_scores_gemma":[0.01168935,0.0005037078,0.000410362,0.002503033,0.05051592,0.02885206,0.01102917,0.004390233,0.001809999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003586002,"about_ca_system_score_gemma":0.001538416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002837117,"about_ca_topic_score_gemma":0.002471355,"domain_scores_codex":[0.99529,0.002526981,0.0001206685,0.0005243854,0.001071472,0.0004663862],"domain_scores_gemma":[0.9928498,0.004396506,0.0005372602,0.001237691,0.0005516445,0.0004270582],"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":[0.00002812892,0.000009271211,0.0005230822,0.00005148735,0.000005656298,0.0001189832,0.01307752,0.00008105399,0.0001102937,0.970032,0.004974939,0.01098754],"study_design_scores_gemma":[0.00002705779,0.00002875161,0.001124785,0.0003317993,0.00001599041,0.0003342044,0.02077793,0.0004836967,0.0004181021,0.7689269,0.2075035,0.00002726252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0884771,0.009818834,0.01507212,0.09782262,0.000992806,0.00003192499,0.000176928,0.0001810897,0.7874266],"genre_scores_gemma":[0.9625288,0.003329136,0.001160492,0.003773175,0.001159265,0.00004168753,0.00004773354,0.0001979197,0.02776182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01843218,"threshold_uncertainty_score":0.04507446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06426718982358057,"score_gpt":0.4007219252181998,"score_spread":0.3364547353946192,"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."}}