{"id":"W3035562048","doi":"10.21810/jicw.v3i1.2360","title":"Kekistanis and the Meme War on Social Media","year":2020,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Humor Studies and Applications","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Social media; Sociology; Order (exchange); White supremacy; White (mutation); Media studies; Tracing; Linguistics; Computer science; Gender studies; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001369529,0.0002870595,0.0001796367,0.002483326,0.003747845,0.005294213,0.0003019586,0.0005649902,0.003935432],"category_scores_gemma":[0.00614663,0.0001676465,0.0000869051,0.002889558,0.00280189,0.00399689,0.00272128,0.0008368351,0.0004418331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114205,"about_ca_system_score_gemma":0.0006079227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00322585,"about_ca_topic_score_gemma":0.007215323,"domain_scores_codex":[0.9985247,0.0008674988,0.00004589357,0.0001238245,0.0002651893,0.000172873],"domain_scores_gemma":[0.9936681,0.004579492,0.00107717,0.0002108707,0.0003175331,0.000146674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002727844,0.00009260968,0.09151971,0.0004626256,0.00005784786,0.0009794213,0.8040456,0.0001351638,0.005161439,0.01864937,0.004319634,0.07430385],"study_design_scores_gemma":[0.000007630555,0.00006287259,0.1353765,0.0003276874,0.00003152601,0.0004676991,0.7840532,0.0003128542,0.002382103,0.002940869,0.07400046,0.00003662272],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579049,0.0007595989,0.0005994029,0.001702619,0.00006983362,0.00002627927,0.0003146071,0.00002035725,0.03860235],"genre_scores_gemma":[0.9952382,0.0004935531,0.0003721551,0.0001859775,0.00006492401,0.00003427708,0.00009035046,0.00001805638,0.003502575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005294213,"threshold_uncertainty_score":0.0131653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032329539830596,"score_gpt":0.3485069693877155,"score_spread":0.245274015404656,"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."}}