{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00258999,0.000239763,0.0003005719,0.003080157,0.001719637,0.007929463,0.0004275249,0.001481777,0.03058386],"category_scores_gemma":[0.01233719,0.0002058515,0.0003247137,0.001707485,0.005258814,0.003779101,0.00263966,0.002078535,0.001668525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232621,"about_ca_system_score_gemma":0.000907701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009766737,"about_ca_topic_score_gemma":0.0006304165,"domain_scores_codex":[0.9956527,0.002006033,0.00009769928,0.0003812682,0.00134223,0.0005200107],"domain_scores_gemma":[0.9872388,0.009281368,0.001029728,0.000884542,0.001199886,0.0003656249],"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":[0.00002333,0.00002198592,0.0007185124,0.0000445742,0.000007473624,0.00005071286,0.0002679057,0.0005652497,0.0001856667,0.9865124,0.002867277,0.008734852],"study_design_scores_gemma":[0.00003658442,0.00003833579,0.00568118,0.0002002275,0.00002932666,0.0001459547,0.001232471,0.003419922,0.001015067,0.8823,0.1058791,0.00002189703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03635841,0.002558924,0.0119269,0.01576405,0.0003394618,0.00004680498,0.0002764916,0.00006657527,0.9326625],"genre_scores_gemma":[0.976949,0.00167426,0.0009666525,0.0009754894,0.0008342444,0.00007084938,0.00008329695,0.00004358,0.0184026],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03058386,"threshold_uncertainty_score":0.1023132,"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."}}