{"id":"W2284440167","doi":"10.1111/josl.12164","title":"Stylistic and discursive functions of French negative particle<i>ne</i>in an educational context","year":2015,"lang":"en","type":"article","venue":"Journal of Sociolinguistics","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Formality; Markedness; Context (archaeology); Psychology; Code-switching; Linguistics; Variation (astronomy); Class (philosophy); Pedagogy; Mathematics education; Sociology; History; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007801861,0.0002361595,0.0001817821,0.001161655,0.0015119,0.002066819,0.0003002984,0.0002690668,0.0007836422],"category_scores_gemma":[0.002522358,0.0001609756,0.00008729148,0.0006635921,0.003386484,0.0005893585,0.0007804701,0.0003152364,0.00008520151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095078,"about_ca_system_score_gemma":0.001415137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1208617,"about_ca_topic_score_gemma":0.237463,"domain_scores_codex":[0.9991647,0.0003176056,0.00004161873,0.0001227425,0.0002206326,0.0001327732],"domain_scores_gemma":[0.9980058,0.0008796352,0.0005073751,0.0001429411,0.0003213777,0.0001429264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001594915,0.00003201153,0.2323084,0.0001064816,0.0000174151,0.001585307,0.6804269,0.0001211693,0.04517031,0.003717785,0.0001861469,0.03616859],"study_design_scores_gemma":[0.000005437043,0.000120341,0.754878,0.0000460936,0.00002171182,0.001789779,0.2244103,0.000478328,0.004822608,0.0005373201,0.0128388,0.00005131027],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970584,0.00005947679,0.0001628369,0.00002897413,8.844497e-7,0.000002051553,0.00001042934,0.000002934852,0.002674044],"genre_scores_gemma":[0.9995696,0.00002462155,0.00007705003,0.000002905717,5.098601e-7,7.348989e-7,0.000006566082,0.00000154779,0.0003165146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208617,"threshold_uncertainty_score":0.2403165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06181437925882996,"score_gpt":0.3648894546217153,"score_spread":0.3030750753628854,"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."}}