{"id":"W2270948127","doi":"","title":"Twenty Years Later Taylor Still Has It Right: How the Canadian Human Rights Act’s Hate Speech Provision Continues to Contribute to Equality","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Supreme court; Repeal; Hatred; Human rights; Political science; Law; Context (archaeology); Legislature; Democracy; Incitement; Harm; Scapegoating; Politics; Prejudice (legal term); Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006450837,0.0005531252,0.0006077636,0.00164448,0.02873361,0.01803761,0.001805337,0.01361157,0.007081714],"category_scores_gemma":[0.01851985,0.0004243806,0.0006113336,0.0019565,0.02839652,0.008117464,0.002880233,0.01452545,0.001140501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07346025,"about_ca_system_score_gemma":0.08237407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9540241,"about_ca_topic_score_gemma":0.971504,"domain_scores_codex":[0.990299,0.001247066,0.0001801389,0.001308494,0.004778564,0.002186701],"domain_scores_gemma":[0.9871749,0.004891565,0.0003636314,0.0004352891,0.006001936,0.001132615],"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":[0.00003393849,0.00001869049,0.001705516,0.00006212537,0.00001513771,0.0002377012,0.0195809,0.0001937431,0.0003728553,0.7748681,0.1684735,0.03443786],"study_design_scores_gemma":[0.00001871823,0.00002317575,0.004062583,0.0003106274,0.00004353007,0.0001509709,0.01683722,0.0005569354,0.001001295,0.06272957,0.9140779,0.0001875337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02000265,0.01175277,0.00512919,0.6796048,0.005245399,0.00007521534,0.0003093865,0.00008844987,0.2777921],"genre_scores_gemma":[0.4441132,0.009712829,0.004373263,0.2914701,0.001545637,0.00006908452,0.0001314543,0.0001789146,0.2484054],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07346025,"threshold_uncertainty_score":0.5329939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215316472710157,"score_gpt":0.2460651686549068,"score_spread":0.2339120039278052,"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."}}