{"id":"W2919585037","doi":"","title":"Analyse économique des politiques linguistiques au Québec : 40 ans de Loi 101","year":2018,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005599695,0.0006611718,0.001187976,0.0003046975,0.002361144,0.0003831954,0.001438585,0.001126064,0.0003896725],"category_scores_gemma":[0.01045163,0.0006802037,0.0005535836,0.0002891518,0.008688997,0.000174808,0.001307356,0.001905229,0.00009109871],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01955627,"about_ca_system_score_gemma":0.009200769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7777441,"about_ca_topic_score_gemma":0.878992,"domain_scores_codex":[0.9928929,0.001793234,0.001185077,0.001389031,0.0002934992,0.002446323],"domain_scores_gemma":[0.9947529,0.002068478,0.000422135,0.0007817688,0.001183684,0.0007910123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001755939,0.0003896306,0.6300403,0.0003802805,0.0008838261,0.0001049919,0.2098763,0.0004552369,0.00001445445,0.05503363,0.0003141013,0.1023317],"study_design_scores_gemma":[0.0008043058,0.0005492382,0.1899021,0.001541789,0.0001722365,0.00001303965,0.1266095,0.001817247,0.0003020897,0.1462557,0.5297111,0.002321621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6990024,0.001030884,0.00000556043,0.002589325,0.0006676413,0.0005255103,0.00007025513,0.0000841992,0.2960242],"genre_scores_gemma":[0.9042293,0.05719727,0.002260073,0.0002163363,0.006411979,0.0002125777,0.00002834576,0.00007754297,0.02936652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.529397,"threshold_uncertainty_score":0.9995649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08643653739829803,"score_gpt":0.3870018578765855,"score_spread":0.3005653204782874,"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."}}