{"id":"W4308017474","doi":"10.25071/2564-2855.16","title":"Nation-building and state support for creole languages","year":2022,"lang":"en","type":"article","venue":"Working papers in Applied Linguistics and Linguistics at York","topic":"Linguistic and Sociocultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Creole language; Sociolinguistics; Relation (database); State (computer science); Politics; Linguistics; Power (physics); English-based creole languages; Political science; Government (linguistics); French; Language contact; Pidgin; Sociology; History; Foreign language; Modern language; Law; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008349562,0.00009690578,0.0001395293,0.0008580989,0.004504215,0.003389994,0.0005151955,0.0006859847,0.003590333],"category_scores_gemma":[0.00179882,0.0001050306,0.00009131671,0.0007431524,0.005634736,0.001440697,0.00260086,0.0008127859,0.0001374938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003732701,"about_ca_system_score_gemma":0.002549668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03715864,"about_ca_topic_score_gemma":0.09621882,"domain_scores_codex":[0.9992512,0.0002323576,0.0000225726,0.0000777065,0.00005424053,0.0003619629],"domain_scores_gemma":[0.9993125,0.0002450302,0.0001619645,0.0000772222,0.00008833867,0.000114875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001146853,0.00006561476,0.0376979,0.00007073724,0.0000185682,0.001836582,0.2562598,0.0002688139,0.001603154,0.6574355,0.001833213,0.0427954],"study_design_scores_gemma":[0.000052283,0.0001537376,0.15447,0.0005042364,0.00007539018,0.001261761,0.5536529,0.001296806,0.003275205,0.04227212,0.2429008,0.00008473687],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8586738,0.0003004575,0.0002561136,0.001680972,0.000009397264,0.000008112885,0.00001455996,0.000008844834,0.1390478],"genre_scores_gemma":[0.9978229,0.00004589378,0.00003879436,0.00003619876,0.000001216168,0.000002269047,0.000003794276,0.00000137828,0.002047638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03715864,"threshold_uncertainty_score":0.07388473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422158381144369,"score_gpt":0.2952466713300577,"score_spread":0.271025087518614,"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."}}