{"id":"W2587939649","doi":"","title":"\"Crazy B****\": Discriminatory Language, Radio Censorship, Regulation, and Enforcement Policies in Canada","year":2016,"lang":"en","type":"dissertation","venue":"YorkSpace (York University)","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censorship; Enforcement; Political science; Law enforcement; Computer security; Business; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001035978,0.0002607006,0.0002539521,0.0005688301,0.000196638,0.00008253713,0.0005368221,0.0001800426,0.00005619745],"category_scores_gemma":[0.00002430511,0.0002648532,0.00004929885,0.0006022534,0.00003114724,0.0003155809,0.0000789842,0.0002396808,0.0000092994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056605,"about_ca_system_score_gemma":0.001005332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6071952,"about_ca_topic_score_gemma":0.8964317,"domain_scores_codex":[0.99856,0.0001012195,0.0001624207,0.0004713532,0.000323637,0.0003813565],"domain_scores_gemma":[0.9991046,0.00006567522,0.0001947544,0.0004172701,0.00006059803,0.0001571128],"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":[0.0007567683,0.0002020997,0.01647835,0.001154797,0.000515653,0.001994476,0.07829914,0.0007450438,0.004886839,0.6740025,0.04013762,0.1808267],"study_design_scores_gemma":[0.007415062,0.0005170353,0.3098282,0.00408816,0.0003913427,0.00009959619,0.1601274,0.003220708,0.02577075,0.003446284,0.4784379,0.006657496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727659,0.001376968,0.003848679,0.001199109,0.002397201,0.0008329858,0.00003687544,0.0003427806,0.1171995],"genre_scores_gemma":[0.9070305,0.0001777667,0.0005099141,0.00004718705,0.00006382073,0.000001712309,0.00005323481,0.00002030446,0.09209562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6705562,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005525343225973517,"score_gpt":0.1833169224602673,"score_spread":0.1777915792342938,"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."}}