{"id":"W7129071813","doi":"10.5281/zenodo.18659444","title":"Toward Linguistic Competence in Italy: Lexicological, Sociolinguistic, and Historical Imperatives for English-Speaking Expats in Navigating Standard, Administrative, and Journalistic Italian","year":2025,"lang":"","type":"preprint","venue":"Open MIND","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Everyday life; Romance; Competence (human resources); Linguistic competence; Framing (construction)","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":[0.00297011,0.0002457966,0.000198274,0.001716052,0.003904054,0.006792183,0.0006020092,0.00103672,0.002449343],"category_scores_gemma":[0.003739536,0.0002580408,0.0001306717,0.000932203,0.0168298,0.00516051,0.003176213,0.003057961,0.0006127389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004045035,"about_ca_system_score_gemma":0.001786883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979438,"about_ca_topic_score_gemma":0.03476285,"domain_scores_codex":[0.9986078,0.0007789319,0.00003896119,0.0001722176,0.000121311,0.0002808295],"domain_scores_gemma":[0.9977537,0.0009747916,0.0003219817,0.0001897492,0.0003160384,0.0004438316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004472852,0.00005439493,0.00968548,0.00004135449,0.000002054819,0.0009409259,0.7655247,0.00005803761,0.000805098,0.2074891,0.00348866,0.01186545],"study_design_scores_gemma":[0.00003585626,0.000100467,0.09617001,0.0005446813,0.00002076622,0.002719127,0.4870749,0.001397981,0.001231969,0.05910728,0.3514991,0.00009788744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5745698,0.001016205,0.002228887,0.01782364,0.00007096382,0.00002911222,0.00005324137,0.00005758643,0.4041505],"genre_scores_gemma":[0.9942209,0.000173702,0.0003246298,0.0003365959,0.00004883112,0.00001062312,0.00002397388,0.00002559565,0.004835319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01979438,"threshold_uncertainty_score":0.03935832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354778414963974,"score_gpt":0.3947270895834227,"score_spread":0.2592492480870254,"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."}}