{"id":"W1505148695","doi":"10.19173/irrodl.v12i6.981","title":"Literacy at a distance in multilingual contexts: Issues and challenges","year":2011,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"African Education and Politics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Multilingualism; Distance education; Information and Communications Technology; Information literacy; ICTS; Pedagogy; Sociology; Public relations; Computer science; Political science; Economic growth; Mathematics education; Psychology; World Wide Web; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004120669,0.0000453315,0.0001292247,0.00006009635,0.0001456018,0.00005576783,0.0004269986,0.00002255493,0.0002441253],"category_scores_gemma":[0.003013034,0.00003404829,0.00001286647,0.0001732153,0.0003692589,0.0001599563,0.0002677516,0.0002267845,0.000005315206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009525135,"about_ca_system_score_gemma":0.0001174352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004982649,"about_ca_topic_score_gemma":0.001715781,"domain_scores_codex":[0.9985296,0.0006617774,0.0002015996,0.0001280439,0.000309882,0.0001690841],"domain_scores_gemma":[0.9989005,0.0006844143,0.00006982065,0.00007749383,0.0002071967,0.00006061451],"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":[0.0001449906,0.0002376267,0.1827409,0.00109495,0.00002229702,0.00001601411,0.1060167,0.000001027805,0.000004724031,0.5714828,0.0008486398,0.1373894],"study_design_scores_gemma":[0.0003929274,0.00004272068,0.05488371,0.005010324,0.00000261143,0.000002548249,0.05082217,0.00007906746,0.00001520089,0.006266205,0.8823945,0.00008801949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4389221,0.3581514,0.00001209086,0.08009063,0.0001418036,0.001105992,0.00005848019,0.00001369895,0.1215038],"genre_scores_gemma":[0.764246,0.2346025,0.00004733534,0.00008982183,0.00002638265,0.00002103598,0.00001028877,0.000002246397,0.0009544501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8815458,"threshold_uncertainty_score":0.7532308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2402240005012021,"score_gpt":0.5287518767440621,"score_spread":0.28852787624286,"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."}}