{"id":"W4312826078","doi":"10.7202/1090844ar","title":"L’hétérolinguisme au coeur du rap québécois contemporain : les cas de Loud et de Koriass","year":2022,"lang":"fr","type":"article","venue":"Analyses Revue de littératures franco-canadiennes et québécoise","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001653645,0.0003679498,0.0004142612,0.002239278,0.01168966,0.00349174,0.0008563648,0.0006904303,0.008091307],"category_scores_gemma":[0.002510127,0.0002562475,0.0001600009,0.003529116,0.005860577,0.00186523,0.002347192,0.001312117,0.0004191004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01543642,"about_ca_system_score_gemma":0.01177954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.910231,"about_ca_topic_score_gemma":0.9697063,"domain_scores_codex":[0.9984949,0.0004305132,0.00005374314,0.0002217515,0.0003379427,0.0004611162],"domain_scores_gemma":[0.9980222,0.0005353244,0.000324157,0.0001186449,0.0006726727,0.0003269078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004132628,0.00001542175,0.05192987,0.000126919,0.00002151207,0.001008048,0.9179171,0.00003665001,0.0007976373,0.008135349,0.002035259,0.01793502],"study_design_scores_gemma":[0.000001478035,0.00001180345,0.08850079,0.0001759693,0.00001690777,0.0003042963,0.8770381,0.00005839731,0.000199226,0.0002485802,0.03342589,0.00001860187],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730211,0.001274586,0.0003182299,0.001459364,0.00005203837,0.00001561002,0.0001707643,0.000005836138,0.02368231],"genre_scores_gemma":[0.9911629,0.0005652127,0.0001363531,0.0001853119,0.000008347345,0.00001265351,0.00005688002,0.000009165371,0.007863203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08976901,"threshold_uncertainty_score":0.1805953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03895643843931266,"score_gpt":0.3287628100898228,"score_spread":0.2898063716505101,"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."}}