{"id":"W3115555762","doi":"","title":"Uwaridi kwani? (‘Why ‘Uwaridi’?’) Digital Literary Networks and the App-Propriation of Swahili Popular Novels","year":2020,"lang":"en","type":"article","venue":"Postcolonial text","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swahili; Publishing; Narrative; Newspaper; Digital media; Literature; History; Media studies; Art; World Wide Web; Sociology; Computer science; Linguistics","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":[0.0003500636,0.0001997684,0.0003083768,0.00005742482,0.0002495481,0.0004610386,0.001257415,0.00008832988,0.000009015265],"category_scores_gemma":[0.0003523952,0.0001546718,0.00008799373,0.0004632045,0.0002503662,0.0007949116,0.001194183,0.0003292883,0.00001734553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003029146,"about_ca_system_score_gemma":0.00009455477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009500611,"about_ca_topic_score_gemma":0.000007575897,"domain_scores_codex":[0.9985254,0.0001648956,0.0004165008,0.0002754175,0.0003251877,0.0002926265],"domain_scores_gemma":[0.9986315,0.0003779754,0.0002093375,0.0005518186,0.0001421886,0.00008722725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00108513,0.0003518055,0.01289977,0.0003841056,0.0004542755,0.00007129017,0.1326465,0.002060745,0.0007524433,0.5996944,0.01124074,0.2383589],"study_design_scores_gemma":[0.0108421,0.001846032,0.05637413,0.0005505573,0.0001366786,0.0002280688,0.0005123256,0.7283545,0.003431263,0.09107127,0.1042078,0.00244531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4438491,0.003641895,0.4605393,0.084295,0.002120164,0.001646579,0.00004749955,0.000737943,0.003122451],"genre_scores_gemma":[0.9921252,0.0000474816,0.004029399,0.003459833,0.0002358568,0.00001742246,0.00001433832,0.00001773343,0.00005276223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7262937,"threshold_uncertainty_score":0.6307333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357192706362416,"score_gpt":0.2126464595798211,"score_spread":0.199074532516197,"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."}}