{"id":"W633381425","doi":"10.34382/00002581","title":"Philippine English : a case of language drift","year":2010,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Linguistics; First language; Scrutiny; Foreign language; Language transfer; Indigenization; Norm (philosophy); English studies; Test of English as a Foreign Language; English language; Sociology; History; Political science; Language education; Computer science; Comprehension approach; Pedagogy; Artificial intelligence; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005719401,0.0005460287,0.000572264,0.002859997,0.0132923,0.006818825,0.002252741,0.004256456,0.003749834],"category_scores_gemma":[0.01508845,0.0003651259,0.0004850992,0.003526025,0.01854828,0.007208604,0.01227781,0.007759259,0.0005017077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009168969,"about_ca_system_score_gemma":0.005208622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02841238,"about_ca_topic_score_gemma":0.02162792,"domain_scores_codex":[0.9951196,0.002133057,0.0001941749,0.0004060875,0.001033004,0.001114067],"domain_scores_gemma":[0.995101,0.001575139,0.0009453931,0.0004645444,0.001050139,0.0008636237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008656091,0.00004983847,0.01129024,0.0001252755,0.00002106758,0.04609818,0.7864268,0.000333826,0.0008235972,0.1243985,0.007123526,0.02322261],"study_design_scores_gemma":[0.00006291012,0.0001266558,0.01473227,0.0008475486,0.00003793797,0.05261842,0.5696838,0.002310805,0.001314699,0.04568701,0.3123707,0.0002071817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567705,0.003793516,0.002405801,0.04591716,0.0003996846,0.0001110809,0.00009855555,0.0001412292,0.09036256],"genre_scores_gemma":[0.9901688,0.0008784451,0.0005304294,0.003535083,0.0001757081,0.00004741158,0.00003004773,0.00005281871,0.004581258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02841238,"threshold_uncertainty_score":0.06652582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361532116700442,"score_gpt":0.3105306294905887,"score_spread":0.2969153083235843,"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."}}