{"id":"W2089851458","doi":"10.1111/1467-9481.00180","title":"Dynamics of dialect convergence","year":2002,"lang":"en","type":"article","venue":"Journal of Sociolinguistics","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stress (linguistics); Linguistics; Sociolinguistics; Sociology; Immigration; Dynamics (music); Convergence (economics); Social mobility; History; Social science","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":[0.001328326,0.0001398165,0.0003955218,0.002484869,0.001763361,0.003704561,0.0005814204,0.0004842242,0.004773027],"category_scores_gemma":[0.007604512,0.0001895012,0.0001999978,0.001684074,0.003039972,0.002861022,0.004314704,0.0007456089,0.0003939763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992119,"about_ca_system_score_gemma":0.0007948527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005163612,"about_ca_topic_score_gemma":0.003392989,"domain_scores_codex":[0.998702,0.000455723,0.00005800463,0.0003054224,0.0002373124,0.000241507],"domain_scores_gemma":[0.9980531,0.0006441941,0.0002953016,0.0001920033,0.0005463348,0.0002690485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005882549,0.00007256996,0.2530877,0.000269167,0.0001419721,0.002556328,0.2351518,0.0018927,0.02146366,0.3159466,0.003069364,0.1657598],"study_design_scores_gemma":[0.00005305844,0.0003237324,0.5774406,0.0002307116,0.0001114187,0.00419518,0.1556913,0.005895791,0.004644493,0.1342316,0.1170449,0.0001372369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724014,0.0006253486,0.002661592,0.0009197707,0.00001426741,0.00002064015,0.00008288834,0.00003308428,0.02324105],"genre_scores_gemma":[0.9978909,0.0001789856,0.0006211643,0.00004371844,0.000007669908,0.000009844884,0.00003121872,0.00001274208,0.001203911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005163612,"threshold_uncertainty_score":0.01596737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03983473179304971,"score_gpt":0.3196766067970474,"score_spread":0.2798418750039977,"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."}}