{"id":"W4320508273","doi":"10.5406/23256672.99.2.08","title":"The Language of Power: Casini and Bancheri's In-Depth Analysis of Italian in Immigration and Global Contexts","year":2022,"lang":"en","type":"article","venue":"Italica","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Expansive; Linguistics; Immigration; Sociolinguistics; Context (archaeology); Sociology; Sociology of language; Power (physics); Computer science; Comprehension approach; Language education; History; Political science; Law; Pedagogy","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":[0.001424516,0.0007633276,0.0005665197,0.002520391,0.0029626,0.006993953,0.0006454536,0.001390407,0.002326708],"category_scores_gemma":[0.001450499,0.0002001449,0.0003394883,0.003561678,0.01299639,0.005018578,0.002804863,0.002143791,0.000263001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005971855,"about_ca_system_score_gemma":0.00271788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01527938,"about_ca_topic_score_gemma":0.0228053,"domain_scores_codex":[0.9990039,0.0006095287,0.00001750405,0.00008180486,0.0001349287,0.0001523046],"domain_scores_gemma":[0.9990979,0.0006724781,0.00007023767,0.00003282193,0.0000566276,0.00006998693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004999205,0.00003476779,0.002034099,0.001120815,0.00002222331,0.001487141,0.27556,0.000375207,0.0004437868,0.6217899,0.04148158,0.0556005],"study_design_scores_gemma":[0.000006600643,0.00002614546,0.006160708,0.002483496,0.00002003018,0.0008189204,0.07504763,0.0002997677,0.0001689746,0.03206908,0.8828769,0.00002171885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.07851112,0.42425,0.002661286,0.06583437,0.002742995,0.00006123812,0.00006961061,0.00004978567,0.4258196],"genre_scores_gemma":[0.7677581,0.1926779,0.001412218,0.00737974,0.003765712,0.0001122711,0.0001034651,0.00007731452,0.02671325],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01527938,"threshold_uncertainty_score":0.043329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0045748243363108,"score_gpt":0.2496120981067248,"score_spread":0.245037273770414,"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."}}