{"id":"W3024682438","doi":"","title":"Les inégalités provinciales aux tests internationaux-nationaux de littéracie : Québec, Ontario et autres provinces canadiennes 1993-2018 (Version révisée et augmentée octobre 2020)","year":2020,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Percentile; Literacy; Inequality; Geography; Demography; Humanities; Political science; Psychology; Sociology; Pedagogy; Statistics","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":[0.002509943,0.0005276587,0.0005039878,0.0036316,0.001373552,0.001858376,0.001029675,0.0002803355,0.005829729],"category_scores_gemma":[0.009312656,0.0003065492,0.0007726196,0.009270146,0.0007478316,0.000581961,0.0008012077,0.0006429208,0.000703008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03703402,"about_ca_system_score_gemma":0.04286743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996955,"about_ca_topic_score_gemma":0.9976276,"domain_scores_codex":[0.9975259,0.000187416,0.0001617314,0.0002434966,0.001419222,0.0004622707],"domain_scores_gemma":[0.9881333,0.001103441,0.001362722,0.0003000308,0.008408127,0.0006923408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002040712,0.00003314257,0.9054106,0.0004177725,0.0001940695,0.0001360864,0.003206573,0.001080279,0.0004389381,0.001525199,0.03057189,0.05678123],"study_design_scores_gemma":[0.000008352448,0.00001304994,0.9823376,0.00006705619,0.00002433362,0.00002842611,0.0006182006,0.0001663169,0.0001564811,0.00003007462,0.01653641,0.00001369956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6986108,0.01020445,0.002884384,0.002981448,0.0004163923,0.000288283,0.237286,0.0004173011,0.04691087],"genre_scores_gemma":[0.8862459,0.00447914,0.002971865,0.000310348,0.00007604674,0.0003582984,0.07155672,0.0001216188,0.03388004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03703402,"threshold_uncertainty_score":0.2687019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04692909793862712,"score_gpt":0.3150227301976776,"score_spread":0.2680936322590505,"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."}}