{"id":"W4391133721","doi":"10.14305/jn.29960819.2024.1.1.04","title":"LLMs and Linguistic Competency: An exploration of GPT-4 and a non-hegemonic English variety","year":2024,"lang":"en","type":"article","venue":"Newhouse Impact Journal","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Variety (cybernetics); Hegemony; Linguistics; Sociology; Political science; Computer science; Artificial intelligence; Philosophy; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005195717,0.0001482192,0.0001882626,0.0002085818,0.0001254697,0.0009768844,0.0003266201,0.00007806763,0.000004009157],"category_scores_gemma":[0.0002575849,0.0001097508,0.00004973913,0.0002868657,0.00006194806,0.002524245,0.0001172613,0.0004357768,8.605599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000053663,"about_ca_system_score_gemma":0.0002959221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003779278,"about_ca_topic_score_gemma":0.000008703483,"domain_scores_codex":[0.9989993,0.0000615965,0.0002618109,0.0002257039,0.0002404306,0.0002111732],"domain_scores_gemma":[0.9991576,0.00009197856,0.0001130116,0.0002209959,0.0002194191,0.0001969665],"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":[0.0001806474,0.0004434299,0.005111152,0.001003899,0.0004066079,0.00145915,0.2390599,0.0001889135,0.07223216,0.07855881,0.002741972,0.5986134],"study_design_scores_gemma":[0.001617328,0.004017365,0.006490688,0.002164595,0.0001798581,0.003801428,0.0005926155,0.2919498,0.02212471,0.6643572,0.001418027,0.00128635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2679006,0.01050275,0.7198064,0.0003039339,0.0006308162,0.0001454362,0.000005837611,0.0005649541,0.0001392403],"genre_scores_gemma":[0.8518438,0.0002646741,0.1475275,0.00004588988,0.0002921098,0.000001327468,9.45489e-7,0.00001548126,0.000008200125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5973271,"threshold_uncertainty_score":0.9420119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856905507495917,"score_gpt":0.3161384297253882,"score_spread":0.297569374650429,"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."}}