{"id":"W6990619413","doi":"","title":"Dynamics of prescriptivism and lexical borrowings in Contemporary French","year":2020,"lang":"en","type":"dissertation","venue":"IDEALS (University of Illinois Urbana-Champaign)","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Terminology; Lexical item; Lexical analysis; Government (linguistics); Population; Entertainment; Dynamics (music); Corpus linguistics","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":[0.003599411,0.00024668,0.0003674813,0.004062546,0.002753301,0.005696336,0.0008562086,0.0007080781,0.003220858],"category_scores_gemma":[0.009247445,0.0002611438,0.0002217453,0.003304181,0.005738745,0.002763942,0.0017503,0.0009763574,0.0002535315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01396317,"about_ca_system_score_gemma":0.003808799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2693052,"about_ca_topic_score_gemma":0.319931,"domain_scores_codex":[0.996435,0.001430323,0.0001583495,0.0006454512,0.0009102295,0.0004205895],"domain_scores_gemma":[0.9911438,0.004367917,0.001855056,0.0004900905,0.001741494,0.000401755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002056558,0.0000756712,0.1659461,0.0003020193,0.00006604353,0.001871605,0.6924915,0.000363316,0.007566398,0.05437474,0.00176703,0.07496986],"study_design_scores_gemma":[0.00003265443,0.0001402967,0.5840768,0.0003631046,0.00005217854,0.001500069,0.2930808,0.002077961,0.001481897,0.005781287,0.1112487,0.0001641621],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717743,0.001139061,0.0008796269,0.001157394,0.00001046716,0.00002093368,0.0002007108,0.00002467696,0.02479281],"genre_scores_gemma":[0.9979523,0.0002178036,0.0002645719,0.00005842537,0.000009909469,0.000007634861,0.00007603149,0.00001531208,0.00139801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2693052,"threshold_uncertainty_score":0.5354753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757755328321464,"score_gpt":0.2064099125360978,"score_spread":0.1788323592528832,"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."}}