{"id":"W4367678103","doi":"10.7203/just.2.25833","title":"Canada’s language policy-choices and the modernization of the Official Languages Act","year":2023,"lang":"en","type":"article","venue":"Just Journal of Language Rights & Minorities Revista de Drets Lingüístics i Minories","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; McGill University","keywords":"Context (archaeology); Compromise; Political science; Immigration; Public administration; Federalism; Promotion (chess); Modernization theory; Politics; Census; Law; Sociology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.007588929,0.0003796952,0.0004942142,0.001836571,0.02076039,0.0112892,0.001873642,0.005804593,0.003882213],"category_scores_gemma":[0.01583536,0.0003791571,0.0005969603,0.002474391,0.01460817,0.002285478,0.003146063,0.007090931,0.0003561156],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1515227,"about_ca_system_score_gemma":0.3416837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9888002,"about_ca_topic_score_gemma":0.9921647,"domain_scores_codex":[0.9817858,0.002647436,0.0003813322,0.0008458402,0.007393274,0.006946245],"domain_scores_gemma":[0.9863108,0.003568256,0.0007588122,0.0005845041,0.005180592,0.003597057],"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":[0.00002742113,0.00002548842,0.002394423,0.00004636078,0.000009691324,0.0001373361,0.005542492,0.0003969483,0.0001631233,0.9250302,0.05526632,0.01096026],"study_design_scores_gemma":[0.00007004181,0.00004069761,0.02571352,0.0004054287,0.00003347898,0.00008284651,0.006330433,0.001233716,0.0004533382,0.0696276,0.8958673,0.0001415499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07645779,0.01244755,0.002515586,0.4561572,0.001753867,0.0001192685,0.0008841613,0.0001256754,0.449539],"genre_scores_gemma":[0.8448163,0.003568801,0.002823425,0.06592257,0.000402739,0.00009404574,0.0002853716,0.00006146274,0.08202538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1515227,"threshold_uncertainty_score":0.9841134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068845395587297,"score_gpt":0.2918130616254833,"score_spread":0.2811246076696103,"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."}}