{"id":"W2800014298","doi":"10.1002/9781118783764.wbieme0095","title":"Political Economy of Media Effects","year":2017,"lang":"en","type":"other","venue":"The International Encyclopedia of Media Effects","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aboriginal Affairs Northern Dev Canada; Queen's University","funders":"","keywords":"Politics; Hegemony; Agency (philosophy); Perspective (graphical); Power (physics); Class (philosophy); Race (biology); Sociology; Point (geometry); Sociological imagination; Terrain; Political economy; Work (physics); Economy; Political science; Social science; Positive economics; Epistemology; Economics; Gender studies; Geography; Engineering; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005532094,0.0003118682,0.0006873416,0.000259387,0.000125993,0.00003378092,0.001899284,0.000541825,0.0008320438],"category_scores_gemma":[0.009331599,0.0002513537,0.0002747545,0.000085587,0.00165145,0.00006843639,0.00018171,0.0003919478,0.0001043457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271536,"about_ca_system_score_gemma":0.0007936933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005320459,"about_ca_topic_score_gemma":0.002181729,"domain_scores_codex":[0.9973375,0.0003901658,0.0003703073,0.0002869225,0.001048939,0.0005661502],"domain_scores_gemma":[0.9891503,0.009123762,0.0007200839,0.000510374,0.0001720971,0.0003234097],"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":[0.00002208862,0.0001098433,0.001104224,0.0003949975,0.0003337579,0.00002903966,0.007986026,5.434069e-8,0.00001839457,0.6162615,0.3649869,0.008753208],"study_design_scores_gemma":[0.0006121629,0.00004312235,0.0006453972,0.0008082653,0.0001853954,0.000001321306,0.0007209084,0.000002512522,0.0006347402,0.04159183,0.9544833,0.0002710202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0009637456,0.0008358469,0.0000138533,0.003059541,0.01394026,0.0006732451,0.0001144002,0.00007414614,0.980325],"genre_scores_gemma":[0.5044338,0.006140496,0.0009799711,0.00289701,0.07035515,0.0006401135,0.000394541,0.001034713,0.4131242],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5894964,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264553561863428,"score_gpt":0.3080764476548423,"score_spread":0.295430912036208,"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."}}