{"id":"W2103942931","doi":"10.1017/s0047404510000400","title":"Dialect divergence and convergence in New Zealand English","year":2010,"lang":"en","type":"article","venue":"Language in Society","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":308,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Victoria University of Wellington; Victoria University; National Science Foundation","keywords":"Accommodation; British English; Divergence (linguistics); Psychology; Task (project management); Linguistics; Convergence (economics); Formant; Social psychology; 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":[0.0007352207,0.000185745,0.0003376328,0.0008268681,0.0006913719,0.0009544234,0.0002174803,0.0001913829,0.003050464],"category_scores_gemma":[0.004148808,0.0001402122,0.0001367926,0.0007055807,0.0009406745,0.0005473066,0.001458833,0.0003117691,0.0001982969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008256335,"about_ca_system_score_gemma":0.00047274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05695269,"about_ca_topic_score_gemma":0.09361302,"domain_scores_codex":[0.9993197,0.0001198769,0.0000792175,0.000139318,0.0002513238,0.00009054103],"domain_scores_gemma":[0.9986067,0.0003314228,0.0004303133,0.00009287881,0.0003751486,0.0001634768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008297209,0.00007761626,0.6294839,0.0002601473,0.00008314384,0.001748984,0.2562886,0.00009925085,0.07296016,0.0008986708,0.0002038477,0.03706598],"study_design_scores_gemma":[0.000005614919,0.0000763754,0.9686085,0.00001462611,0.00001204369,0.000432031,0.0290744,0.00007094733,0.0006201245,0.0001394338,0.0009323409,0.00001346868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987091,0.00004294271,0.00003975955,0.00001718538,0.000001615975,0.00000256378,0.00001174769,7.905856e-7,0.001174189],"genre_scores_gemma":[0.9995446,0.00003340833,0.00005762201,0.000005385547,8.413548e-7,0.00000354567,0.0000159446,0.00000183827,0.0003368778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05695269,"threshold_uncertainty_score":0.1132424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015128226350613,"score_gpt":0.291873501048823,"score_spread":0.2817222187853169,"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."}}