{"id":"W1528559802","doi":"10.15353/joci.v11i1.2857","title":"From Digital Divide to Digital Inclusion and Beyond","year":2015,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"ICT Impact and Policies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital divide; Socioeconomic status; ICTS; Digital inclusion; Inclusion (mineral); Ideology; Inequality; The Internet; Sociology; Information and Communications Technology; Social inequality; Information society; Telecommunications; Multimedia; Computer science; Internet privacy; Political science; Social science; World Wide Web; Politics; Mathematics","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":[0.002808298,0.0004570487,0.0007365051,0.004537191,0.005815109,0.01191206,0.001031263,0.003505184,0.006795684],"category_scores_gemma":[0.005635759,0.0001745453,0.0003957117,0.006740503,0.02885427,0.01864441,0.01070505,0.003483434,0.000576623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696506,"about_ca_system_score_gemma":0.005725917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002537209,"about_ca_topic_score_gemma":0.002371329,"domain_scores_codex":[0.9959337,0.001992659,0.0001983709,0.0003401317,0.001106445,0.0004287141],"domain_scores_gemma":[0.9962878,0.002612984,0.0003235597,0.0001731837,0.0003721156,0.0002303902],"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":[0.000008052173,0.00001718409,0.0004308828,0.0004533042,0.000004293579,0.0002293874,0.01705976,0.00007743407,0.00007144073,0.9499474,0.002668271,0.02903261],"study_design_scores_gemma":[0.000004512794,0.00002233061,0.001079662,0.003470467,0.000008226694,0.00040157,0.05243205,0.0001033484,0.0002128183,0.6771011,0.2651462,0.00001779608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05249441,0.2635487,0.008620292,0.1638563,0.002965963,0.00007005294,0.00010234,0.00004909184,0.5082929],"genre_scores_gemma":[0.7576486,0.2015905,0.003269279,0.01435847,0.002364316,0.0001584554,0.00008813493,0.00003658724,0.0204857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01191206,"threshold_uncertainty_score":0.02682012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245417379337637,"score_gpt":0.2534043087304241,"score_spread":0.2309501349370477,"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."}}