{"id":"W4388044495","doi":"10.1080/23311886.2023.2274430","title":"Hate speech and the harm in Indonesian judicial decisions","year":2023,"lang":"en","type":"article","venue":"Cogent Social Sciences","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi; Lembaga Pengelola Dana Pendidikan; Universitas Gadjah Mada; Ministry of Education","keywords":"Indonesian; Harm; Political science; Law and economics; Judicial opinion; Law; Sociology; Linguistics; Philosophy","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":[0.008536393,0.0002216029,0.000406212,0.001589009,0.00609677,0.004973892,0.0006945977,0.002047225,0.001537986],"category_scores_gemma":[0.02904295,0.0003101776,0.0002294605,0.001527478,0.008883316,0.003094325,0.00356522,0.003470986,0.0001918346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003697408,"about_ca_system_score_gemma":0.00232826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00887146,"about_ca_topic_score_gemma":0.01713876,"domain_scores_codex":[0.9889682,0.006267342,0.0007845613,0.0006340487,0.002429418,0.0009163506],"domain_scores_gemma":[0.9693266,0.01963158,0.007467019,0.001080541,0.001964374,0.000529895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003283043,0.0006338792,0.2859564,0.0003976266,0.0001110971,0.01419082,0.3671224,0.002702821,0.002020794,0.2480566,0.004712299,0.07376699],"study_design_scores_gemma":[0.00003435792,0.0003244814,0.4020576,0.001131895,0.0001876302,0.007058409,0.4511038,0.008320452,0.005283638,0.08479962,0.0395184,0.000179611],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551516,0.0006065894,0.0009296089,0.001616341,0.00003660308,0.00003552802,0.00002633165,0.000003344177,0.04159419],"genre_scores_gemma":[0.9985115,0.0001762537,0.0001937037,0.0001783123,0.000009767869,0.000008391112,0.000006156811,0.000001552588,0.0009143842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00887146,"threshold_uncertainty_score":0.04514533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.045680707737695,"score_gpt":0.3065063708913793,"score_spread":0.2608256631536843,"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."}}