{"id":"W4389125280","doi":"10.2139/ssrn.4624575","title":"Laughing to Keep From [User Input Undefined]: ChatGPT, Jewish Humor, and Cultural Erasure","year":2023,"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":false,"ca_institutions":"York University","funders":"","keywords":"Judaism; Erasure; Psychology; Computer science; Internet privacy; History; Archaeology","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":[0.002833663,0.0005138201,0.0002836196,0.00131732,0.002243307,0.003946172,0.0007294415,0.001452314,0.004848418],"category_scores_gemma":[0.02796989,0.0004014883,0.00019577,0.0007569271,0.003816743,0.00217648,0.002460921,0.002040023,0.0006087321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009101601,"about_ca_system_score_gemma":0.001017168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008445659,"about_ca_topic_score_gemma":0.01578304,"domain_scores_codex":[0.9981805,0.000887681,0.00006706785,0.0001913915,0.0004469333,0.000226387],"domain_scores_gemma":[0.9853787,0.008477164,0.00281587,0.001206284,0.001274257,0.0008476973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001033075,0.0005676508,0.6248268,0.0002620038,0.0001526355,0.004181235,0.2270388,0.0004833181,0.008197687,0.02025646,0.004352797,0.1086477],"study_design_scores_gemma":[0.00003543057,0.0003986253,0.7629037,0.0004852558,0.000298337,0.009124666,0.1872942,0.007305887,0.00641158,0.01006812,0.01546546,0.0002087387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671126,0.0004264918,0.002221473,0.001263474,0.00004598485,0.00002647902,0.00006324623,0.00007371872,0.02876648],"genre_scores_gemma":[0.9977055,0.00007185442,0.0004707905,0.0002285016,0.00001476296,0.00000711299,0.00002634972,0.00002369252,0.001451534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008445659,"threshold_uncertainty_score":0.01679295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00928652410865471,"score_gpt":0.2331556940196623,"score_spread":0.2238691699110076,"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."}}