{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004042694,0.0000804081,0.0001295181,0.00006657423,0.0001645264,0.0001852291,0.0003685492,0.00002906729,0.000002087236],"category_scores_gemma":[0.0001570881,0.0000511834,0.00002372069,0.00007521585,0.00003758942,0.001072445,0.0005751126,0.0003800169,0.00001849822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003579584,"about_ca_system_score_gemma":0.00001822387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002502076,"about_ca_topic_score_gemma":0.000003628413,"domain_scores_codex":[0.9993615,0.00002535623,0.0003078301,0.000001341459,0.0001990229,0.0001049397],"domain_scores_gemma":[0.9992281,0.0002917768,0.00007911491,0.000180305,0.00007056425,0.0001501579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002388441,0.00001393409,0.0002725307,0.00001264205,0.00003769627,9.536151e-8,0.9643475,0.004358356,0.0000273909,0.00001727705,0.01432437,0.01656429],"study_design_scores_gemma":[0.001327306,0.0008046647,0.002859305,0.0001722161,0.00008654444,0.0003658432,0.8539385,0.00220927,0.00112828,0.02405581,0.1126479,0.000404399],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862438,0.00008235953,0.00227594,0.0003504279,0.0001148003,0.0000333216,0.00004400083,0.00002029844,0.01083508],"genre_scores_gemma":[0.999499,0.00002418066,0.00004715725,0.0003194406,0.00007907161,8.701744e-8,0.00000575723,0.00000696694,0.00001839734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.110409,"threshold_uncertainty_score":0.2087199,"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."}}