{"id":"W2798234596","doi":"10.14507/epaa.26.3817","title":"Digital divide: A critical context for digitally based assessments","year":2018,"lang":"en","type":"article","venue":"Education Policy Analysis Archives","topic":"Digital literacy in education","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care; University of British Columbia","funders":"","keywords":"Digital divide; Competence (human resources); Socioeconomic status; Context (archaeology); Digital literacy; Affordance; Digital learning; Public relations; Sociology; Mathematics education; Psychology; Knowledge management; Computer science; Political science; Pedagogy; Social psychology; Information and Communications Technology; Geography; World Wide Web; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02902576,0.0004982772,0.0006832975,0.005085737,0.0205328,0.02732736,0.001809058,0.00433217,0.006644332],"category_scores_gemma":[0.06102445,0.0004751787,0.0004521266,0.003398282,0.05386936,0.0351349,0.02037509,0.01182942,0.0004472873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01265582,"about_ca_system_score_gemma":0.01698982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00694564,"about_ca_topic_score_gemma":0.007535185,"domain_scores_codex":[0.9694271,0.0209836,0.00118083,0.001994612,0.004610807,0.001803017],"domain_scores_gemma":[0.9289485,0.05208696,0.004140188,0.003002217,0.007132908,0.004689198],"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":[0.00002664641,0.00004132835,0.00316986,0.0001345708,0.000006794228,0.0004609291,0.157724,0.00009819195,0.0002427895,0.8117283,0.004381491,0.02198518],"study_design_scores_gemma":[0.00001926713,0.00005063777,0.003941034,0.001506372,0.00001750669,0.0004725382,0.3777641,0.000308418,0.0007362031,0.3803189,0.2348146,0.00005025458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1846225,0.01206518,0.02981654,0.3178979,0.001777558,0.0003554934,0.0001686409,0.0001269353,0.4531693],"genre_scores_gemma":[0.9847634,0.001561652,0.003828022,0.005491906,0.0002873609,0.0001366562,0.00001927568,0.00004965376,0.003861968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02902576,"threshold_uncertainty_score":0.1535047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994816346035836,"score_gpt":0.3903997780319978,"score_spread":0.3704516145716394,"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."}}