{"id":"W2536676862","doi":"10.1075/impact.41.c3","title":"Chapter 3. State language planning in France and Quebec","year":2016,"lang":"en","type":"book-chapter","venue":"Impact","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Language planning; History; Linguistics; Geography; Political science; Computer science; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005135512,0.0006871367,0.0003553741,0.001618119,0.006695134,0.006318246,0.001040374,0.001532127,0.03570369],"category_scores_gemma":[0.0008758786,0.0003436407,0.0005044737,0.003453224,0.00161957,0.001307879,0.0009740346,0.00192106,0.001590616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06256552,"about_ca_system_score_gemma":0.05279702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9725955,"about_ca_topic_score_gemma":0.9852157,"domain_scores_codex":[0.999574,0.00007269481,0.00001111274,0.00004454318,0.0001605865,0.0001370105],"domain_scores_gemma":[0.9998184,0.00003600028,0.000008857159,0.000009616583,0.00009588986,0.00003122662],"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":[0.00003387778,0.00007169163,0.001970934,0.0002304825,0.00002414497,0.0002179072,0.004174283,0.003758837,0.0003816066,0.5135517,0.3385837,0.1370009],"study_design_scores_gemma":[0.000006270715,0.000006752049,0.003389899,0.0002685024,0.000009797582,0.00003398138,0.001288502,0.0004403536,0.0001290853,0.007696663,0.9867147,0.00001562052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009346914,0.03812572,0.001243008,0.01222908,0.000979005,0.00007666829,0.0007534995,0.0001518247,0.9370942],"genre_scores_gemma":[0.07591362,0.01841675,0.001212087,0.001842297,0.0001905722,0.00007511453,0.0004568669,0.0001105276,0.9017821],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06256552,"threshold_uncertainty_score":0.4539468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797641887672097,"score_gpt":0.4588370561425165,"score_spread":0.4108606372657955,"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."}}