{"id":"W1933570446","doi":"","title":"Language Policy and Minority Language Education in Nigeria: Cross River State Educational Experience","year":2012,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Language policy; Language planning; Indigenous; State (computer science); Indigenous education; Minority language; Indigenous language; Bilingual education; Loyalty; First language; Political science; Identity (music); Literacy; Language industry; Sociology; Sociology of language; Politics; Language education; Linguistics; Pedagogy; Comprehension approach; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009765569,0.0001512475,0.0001927087,0.0003897203,0.009898923,0.002602679,0.0002691464,0.0009471998,0.004069311],"category_scores_gemma":[0.001212972,0.0001755202,0.00008385871,0.0005523836,0.002741791,0.00191838,0.003741042,0.001683282,0.0002625143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002949425,"about_ca_system_score_gemma":0.004514728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02728556,"about_ca_topic_score_gemma":0.07876293,"domain_scores_codex":[0.9994006,0.0002902097,0.0000208379,0.00002544324,0.00004105687,0.0002217233],"domain_scores_gemma":[0.9993322,0.0002569285,0.00009065,0.00001358431,0.00004371383,0.000262804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007669301,0.0003354335,0.03604383,0.000184044,0.000004556666,0.004739008,0.8512265,0.0001499353,0.001217742,0.07449196,0.003205435,0.02832491],"study_design_scores_gemma":[0.000008021764,0.00008969863,0.01958603,0.0004069439,0.000006384301,0.0007575147,0.9005685,0.0002000086,0.0003688775,0.002574591,0.07541821,0.0000151888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656403,0.001035048,0.00008031966,0.008036479,0.00004217563,0.00001250081,0.000007932779,0.000002437797,0.02514281],"genre_scores_gemma":[0.992374,0.0008561424,0.00004043104,0.0004235023,0.000006181114,0.000007421441,0.000003804233,0.000001584055,0.006286988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02728556,"threshold_uncertainty_score":0.05425352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466637285274246,"score_gpt":0.4894528546871231,"score_spread":0.4647864818343806,"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."}}