{"id":"W4414321359","doi":"10.15273/jue.v15i2.12513","title":"The Gag City Grammar Police: Language and Algorithmic Community on Stan Twitter","year":2025,"lang":"en","type":"article","venue":"Journal for Undergraduate Ethnography","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Netnography; Ethnography; Speech community; Grammar; Sociolinguistics; Field (mathematics); Variation (astronomy); Subculture (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001424583,0.0001855084,0.0001658013,0.000360811,0.00283364,0.0007279121,0.0007363121,0.0000886658,7.849634e-7],"category_scores_gemma":[0.00006152923,0.0001274733,0.0002189715,0.0007516324,0.0001458886,0.0002389025,0.0001338497,0.001036045,0.000002577008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004960891,"about_ca_system_score_gemma":0.00005460013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003117677,"about_ca_topic_score_gemma":0.0002953902,"domain_scores_codex":[0.9984899,0.0003530503,0.0002813791,0.0001892168,0.0002687509,0.0004176711],"domain_scores_gemma":[0.998525,0.0005512776,0.0001496199,0.0005122175,0.0001259931,0.0001358866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003923327,0.0004960605,0.002511776,0.0001450577,0.0009215989,0.00003219679,0.01529991,0.0000527771,0.003663589,0.06811833,0.0774522,0.8309142],"study_design_scores_gemma":[0.005109366,0.002420936,0.01439293,0.0004520305,0.0001599352,0.0003098706,0.01357889,0.008053155,0.01176947,0.7573815,0.1852024,0.00116953],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5872276,0.0008003005,0.3732736,0.03163564,0.002995793,0.0006445878,0.00001046664,0.0002846367,0.00312733],"genre_scores_gemma":[0.9900942,0.0005259418,0.005816967,0.00172564,0.0001711456,0.00002790934,0.000002577569,0.00001645506,0.001619189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8297446,"threshold_uncertainty_score":0.9984645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507600480938458,"score_gpt":0.3194168693361985,"score_spread":0.2943408645268139,"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."}}