{"id":"W2521379626","doi":"10.1016/j.telpol.2016.05.002","title":"Global agenda and ICT4D in Africa: Constraints of localizing ‘universal norm’","year":2016,"lang":"en","type":"article","venue":"Telecommunications Policy","topic":"ICT Impact and Policies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Department for International Development","keywords":"Leapfrogging; Information and Communications Technology; Digital divide; ICTS; The Internet; Economic growth; Internet access; Information society; Norm (philosophy); Global network; Political science; Public relations; Business; Telecommunications; Economics; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072886,0.00008518107,0.0001235401,0.0001628344,0.00003756172,0.000008664417,0.0002350747,0.00005082955,0.00002993588],"category_scores_gemma":[0.00005658677,0.00007297219,0.00002339431,0.0003629218,0.0002365502,0.0001112586,0.00007733038,0.00005346792,0.00001375978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291942,"about_ca_system_score_gemma":0.00005598566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008634876,"about_ca_topic_score_gemma":0.0005200346,"domain_scores_codex":[0.9995075,0.00002999096,0.0001688938,0.00003239255,0.00004491733,0.0002163001],"domain_scores_gemma":[0.9994422,0.0001011789,0.0000261705,0.000361001,0.00001957831,0.00004990887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002696453,0.0002157973,0.06792113,0.0001627814,0.0002300485,0.000002958549,0.03648479,0.001376114,0.01811212,0.4698566,0.01015838,0.3954523],"study_design_scores_gemma":[0.005613779,0.0002180856,0.7969236,0.0006848787,0.0000907978,0.0001540923,0.008455159,0.003188633,0.007220302,0.01462622,0.1611811,0.00164338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565329,0.0006920429,0.001185993,0.002096711,0.00003026105,0.0001208915,0.0001438128,0.0001493357,0.1390481],"genre_scores_gemma":[0.9987365,0.0006174548,0.0004944772,0.00003491638,0.00001945192,0.00000381693,0.000002460778,0.000009181299,0.00008172871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7290025,"threshold_uncertainty_score":0.297572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496755369893281,"score_gpt":0.2768981021882123,"score_spread":0.2519305484892794,"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."}}