{"id":"W4410042700","doi":"10.1080/02681102.2025.2498924","title":"Digitalization and dignity: digital driving in Kenya","year":2025,"lang":"en","type":"article","venue":"Information Technology for Development","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mastercard Foundation","keywords":"Dignity; Business; Political science; Internet privacy; Computer security; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001755635,0.0002243928,0.0002484925,0.0009445169,0.00971402,0.003184581,0.0004239082,0.0008549421,0.00412881],"category_scores_gemma":[0.002030737,0.0002822821,0.0001023245,0.001082839,0.007318551,0.003966723,0.003725585,0.0009952944,0.0001826485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003990047,"about_ca_system_score_gemma":0.003734895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374979,"about_ca_topic_score_gemma":0.06161826,"domain_scores_codex":[0.999032,0.0003533525,0.00005288783,0.0000693042,0.0001745343,0.0003178985],"domain_scores_gemma":[0.9990427,0.0004121357,0.000202445,0.00003507919,0.00009281105,0.0002148689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005635473,0.0000667561,0.04790398,0.0002176413,0.00000660008,0.001712587,0.9097985,0.00006840424,0.001674077,0.01665016,0.000884408,0.02096057],"study_design_scores_gemma":[0.00000362182,0.00005409643,0.01831131,0.0002031641,0.000004816241,0.0003467113,0.9474404,0.00006642023,0.0002370878,0.001156751,0.03215678,0.0000188116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98256,0.0005313841,0.0002053255,0.001252949,0.00001415886,0.0000318715,0.00002980575,0.000002216242,0.01537233],"genre_scores_gemma":[0.9974605,0.000487989,0.0001033535,0.0001442191,0.000002343235,0.000009701997,0.00001070305,0.000001840862,0.001779323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374979,"threshold_uncertainty_score":0.04722309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007095927366564557,"score_gpt":0.2479577835280672,"score_spread":0.2408618561615026,"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."}}